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JavaScript - Basics
starting at €1.590,- | face-to-face course
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JavaScript - Basics: Discover the world of web development
JavaScript is the key technology behind modern, interactive websites and applications. It's the language that brings the web to life by transforming static content into dynamic, responsive experiences.
Whether you're looking to pursue a career as a web developer, expand your coding skills or are simply curious about the world of web development, our JavaScript Fundamentals course is the perfect place to start.
What can you expect?
In our course, you will be introduced to the world of JavaScript step by step. You will learn the basic syntax and the most important concepts you need to realize your first projects. The course is practice-oriented and contains numerous examples and exercises so that you can immediately apply and deepen what you have learned.
Why learn JavaScript?
JavaScript is not only one of the most popular programming languages worldwide, but also one of the most sought-after skills in the field of web development. With JavaScript, you will be able to create stunning and interactive user experiences that work on all modern devices and platforms. In addition, JavaScript provides a solid foundation for learning other technologies.
Whether you're looking to pursue a career as a web developer, expand your coding skills or are simply curious about the world of web development, our JavaScript Fundamentals course is the perfect place to start.
What can you expect?
In our course, you will be introduced to the world of JavaScript step by step. You will learn the basic syntax and the most important concepts you need to realize your first projects. The course is practice-oriented and contains numerous examples and exercises so that you can immediately apply and deepen what you have learned.
Why learn JavaScript?
JavaScript is not only one of the most popular programming languages worldwide, but also one of the most sought-after skills in the field of web development. With JavaScript, you will be able to create stunning and interactive user experiences that work on all modern devices and platforms. In addition, JavaScript provides a solid foundation for learning other technologies.
Factsheet on the course
Extent of learning
467 E
3
EQF level
The training is based on EQF level 3 »
Course start
Possible immediately
Learning variant
Classroom Courses
Available
Languages
DE
EN
ES
All course dates
Find your classroom course
JavaScript - Basics -
Half-day weekend course
| 18-01-2025 | starting at 1.590,-
Presence phase from: 15-03-2025
Questions about the course? We are happy to advise you.
Join in at any time!
Questions about the course? We are happy to advise you.
Everything at a glance!
JavaScript - Basics
JavaScript basics: the perfect introduction to programming
Expand your skills and immerse yourself in the world of web development with our JavaScript - Fundamentals course. Whether you're just starting out or already have some programming experience, this course will give you the knowledge you need to use JavaScript effectively and create dynamic web applications. Learn hands-on and at your own pace with numerous examples and exercises to help you immediately apply and deepen what you have learned.
In our course, you will be introduced to the world of JavaScript step by step. You will learn the basic syntax and the most important concepts you need to realize your first projects. The course is practice-oriented and contains numerous examples and exercises so that you can immediately apply and deepen what you have learned.
What can you expect from our training?
The course content includes an introduction to JavaScript, where you will understand the basics and the importance of the language in modern web development. You will learn the basic syntax, variables, data types and operators. You will also become familiar with control structures such as loops and conditions, which enable you to control the program flow. The creation and use of functions for reusable and structured code is also an important part of the course. In addition, you will learn how to dynamically modify and customize web content by accessing the Document Object Model (DOM) and how to handle user interactions and events to develop responsive web applications. All these topics are complemented by practical projects that apply what you have learned in real-life scenarios.
Who is the course suitable for?
This course is ideal for beginners who have little or no programming experience and want to learn the basics of JavaScript from scratch. Advanced learners who already know other programming languages and want to extend their knowledge to JavaScript are also in the right place. Professionals in the IT sector who want to add another important technology to their skills will also benefit from this course.
Do you want to delve even deeper into JavaScript? Then take our JavaScript - Basics and Advanced course or the JavaScript Developer course.
Conditions of participation
- Online or written registration
- Basic IT knowledge is recommended but not required
- Minimum age 18 years (for participants under 18 years, written parental consent is required for registration)
- Access to an internet-enabled device
- Access to a stable internet connection
Certificate of completion
Our certificates are valid worldwide and are issued in different versions. On request, you can receive our certificate in several languages, with country-specific information and with or without printed grades.
All of these variants are available to you free of charge for a lifetime for downloading from your online campus. In addition, depending on the learning package you have purchased, you will receive a certificate of your choice, which will be issued on special high-quality embossed paper.
The following certificate is awarded:
"JavaScript - Fundamentals"
Do you have specific questions about the training?
We will be happy to help you by phone, e-mail or chat.
Procedure & duration - How your training is structured
The training consists of three modules
You can find the list of modules and subjects by clicking on the "Course content" tab.Duration of the course
As our training courses can be designed very flexibly, the duration of the training depends heavily on your own learning initiative, the amount of time you spend each week and your previous knowledge. Depending on how much time you can invest and how quickly you absorb the required knowledge, it is also possible to complete the training more quickly.Online live training via Zoom
The training is conducted live online via Zoom. The instructors teach in real time and share their screen so that you can follow the lessons from the comfort of your own home. You have access to all dates and the link to the live webinar via the Online Campus, so you can easily take part from home.You will receive the Zoom meeting link by e-mail before the start of the course and it will also be available on our Flexyfit learning platform. Please make sure that you have entered your current e-mail address when registering.
With online distance learning courses, you set the tone
Learn at your own pace, when and where you want. The Academy account accompanies you on your computer, tablet or smartphone and contains everything you need for the course.You decide how you learn
You can choose from a wide range of Full HD learning videos in which our top instructors teach you the training content. You can also read the content in our scripts and presentations.No pain, no gain
Along the way, you will work your way through a variety of compulsory and additional tasks. These include writing a simple program, carrying out a security analysis or using a cloud service. All tasks are explained in a step-by-step guide so that you can apply what you have learned in practice.Last but not least... Exams
You can expect lots of multiple choice online exams to test your knowledge. You can take a test exam before each exam to be optimally prepared.
Detailed Course Contents
Extent of learning
467 E | Volume
EDK
187
IT competence
PL
240
Presence | Self-study
RE
8
Literature research
TE
24
Practical realization
AE
8
Additional tasks & examinations
This training is suitable for educational leave. The individual review and approval is subject to the respective funding agency. For more detailed information on the duration and procedure of educational leave, please contact us directly! Book a consultation appointment now.
Participation in the face-to-face webinars is mandatory for educational leave and must be proven to the AMS. Confirmation of attendance must be requested on the participant's own responsibility. Confirmation of attendance of the face-to-face webinar will only be issued during each webinar if requested by the participant.
Module IT competence
Show all chapters of the subjects
Basic knowledge of EDP
The subject "Basic IT knowledge" teaches basic knowledge and concepts of electronic data processing. It offers a comprehensive introduction to the world of computer technology, operating systems, networks and much more.
A computer is an electronic device that is used to process data. It performs calculations, stores and processes information. There are different types of computers, including personal computers (PCs), servers and embedded systems. Each type has specific applications and functions.
An operating system manages the hardware and software resources of a computer. It enables the execution of applications and ensures communication between hardware and software. The best-known operating systems include Windows, macOS and Linux, although each operating system has its own characteristics and areas of application.
Code can be translated by either compilers or interpreters. Compilers convert the entire code into machine language, while interpreters execute the code line by line. The fetch-decode-execute cycle describes the process by which the processor fetches, decodes and executes instructions.
A process is a program that is being executed. The management of processes includes the allocation of resources and the monitoring of their execution. Multitasking enables the simultaneous execution of several processes, whereby process scheduling determines which processes are executed when and for how long.
Hardware is controlled by special software known as drivers. Drivers enable communication between the operating system and hardware components by forwarding specific commands and data.
This module provides a solid foundation in the basic principles of electronic data processing and prepares students to understand and apply more complex concepts in IT.
A computer is an electronic device that is used to process data. It performs calculations, stores and processes information. There are different types of computers, including personal computers (PCs), servers and embedded systems. Each type has specific applications and functions.
An operating system manages the hardware and software resources of a computer. It enables the execution of applications and ensures communication between hardware and software. The best-known operating systems include Windows, macOS and Linux, although each operating system has its own characteristics and areas of application.
Code can be translated by either compilers or interpreters. Compilers convert the entire code into machine language, while interpreters execute the code line by line. The fetch-decode-execute cycle describes the process by which the processor fetches, decodes and executes instructions.
A process is a program that is being executed. The management of processes includes the allocation of resources and the monitoring of their execution. Multitasking enables the simultaneous execution of several processes, whereby process scheduling determines which processes are executed when and for how long.
Hardware is controlled by special software known as drivers. Drivers enable communication between the operating system and hardware components by forwarding specific commands and data.
This module provides a solid foundation in the basic principles of electronic data processing and prepares students to understand and apply more complex concepts in IT.
- WHAT IS A CALCULATOR?
- Definition and basic concepts
- Different types of computers (PCs, servers, embedded systems)
- WHAT IS AN OPERATING SYSTEM?
- Tasks of an operating system
- Examples of common operating systems (Windows, macOS, Linux)
- HOW IS CODE EXECUTED?
- Translation and execution of code (compiler vs. interpreter)
- Sequence of code execution (fetch-decode-execute cycle)
- WHAT ARE PROCESSES?
- Definition and management of processes
- Multitasking and process scheduling
- HOW IS HARDWARE CONTROLLED?
- Basics of hardware control
- Drivers and their role in the system
- WHAT IS A PROGRAM?
- Definition of a program
- Differences between applications and system software
- NETWORK BASICS
- Basics of network technology
- Network protocols and architectures (TCP/IP, OSI model)
- WHAT IS A SERVER?
- Definition and tasks of a server
- Differences between server and client systems
- Examples and areas of application of servers
- WHAT IS THE CLOUD?
- Definition and basics of cloud technology
- Differences between public, private and hybrid cloud
- Advantages and challenges of using the cloud
- INTERNET OF THINGS (IOT)
- Definition and basics of the IoT
- Examples of IoT applications (smart homes, Industry 4.0)
- Challenges and future of the IoT
- SERVICES
- Definition and importance of IT services
- Different types of services (web services, microservices)
- Examples and areas of application of IT services
Show chapter
Coding
The subject "Coding " teaches basic and advanced concepts of programming and software development. It aims to provide participants with a sound understanding of the various programming languages, principles and techniques. In addition, what has been learned is consolidated through knowledge tests and practical tasks. Here are the main topics covered in this module:
Programming languages and how they work
Participants will learn the basic principles and concepts of programming languages. An overview of high-level and low-level programming languages will be given, with the differences between these types clearly highlighted. High-level languages such as Python and Java are compared to machine-oriented languages such as Assembly.
From Visual Programming to 0 and 1
This section covers the range of programming from visual programming languages to machine-oriented languages. Examples of visual programming languages, such as Scratch, and machine-oriented languages, such as Assembly, are presented. The different levels of programming and their applications are explained.
Fundamentals of programming
The basic concepts of programming are taught here. These include the syntax and semantics of programming languages, the declaration and use of variables and data types (such as integer, float, string, boolean), as well as the use of arithmetic, logical and comparison operators.
Design patterns
Design patterns are proven solution patterns for recurring problems in software development. Participants learn the definition and purpose of design patterns and are given examples of common patterns such as singleton, factory and observer. The application and advantages of design patterns in software development are also discussed.
Control structures
This section covers the basic control structures in programming, including conditions and branching with if, else and elif statements as well as loops such as for and while loops. The importance of loop control using break and continue is also explained.
Functions and modularity
Participants will learn how to define and call functions, including parameters, return values and code reusability. The basic principles of modularity and the division of code into manageable, reusable modules are also covered.
Basic data structures
This section provides a basic understanding of data structures such as lists, arrays, dictionaries, hashmaps, tuples and sets. Students will learn how to create, access and modify these structures.
Simple algorithms and problem solving
Participants are introduced to basic sorting algorithms such as bubble sort and selection sort. They will also learn about search algorithms such as linear and binary search. Systematic problem-solving strategies and debugging methods are discussed.
Object-oriented programming (OOP)
The basic principles of object-oriented programming are taught, including classes, objects, attributes and methods. Concepts such as inheritance, polymorphism and encapsulation are fundamentally explained and illustrated with simple examples.
Simple projects and practical applications
Participants put their knowledge into practice in small, practical projects, such as the development of a calculator, a to-do list or a simple game. Finally, simple techniques for checking and improving your own code through code reviews are covered.
Programming languages and how they work
Participants will learn the basic principles and concepts of programming languages. An overview of high-level and low-level programming languages will be given, with the differences between these types clearly highlighted. High-level languages such as Python and Java are compared to machine-oriented languages such as Assembly.
From Visual Programming to 0 and 1
This section covers the range of programming from visual programming languages to machine-oriented languages. Examples of visual programming languages, such as Scratch, and machine-oriented languages, such as Assembly, are presented. The different levels of programming and their applications are explained.
Fundamentals of programming
The basic concepts of programming are taught here. These include the syntax and semantics of programming languages, the declaration and use of variables and data types (such as integer, float, string, boolean), as well as the use of arithmetic, logical and comparison operators.
Design patterns
Design patterns are proven solution patterns for recurring problems in software development. Participants learn the definition and purpose of design patterns and are given examples of common patterns such as singleton, factory and observer. The application and advantages of design patterns in software development are also discussed.
Control structures
This section covers the basic control structures in programming, including conditions and branching with if, else and elif statements as well as loops such as for and while loops. The importance of loop control using break and continue is also explained.
Functions and modularity
Participants will learn how to define and call functions, including parameters, return values and code reusability. The basic principles of modularity and the division of code into manageable, reusable modules are also covered.
Basic data structures
This section provides a basic understanding of data structures such as lists, arrays, dictionaries, hashmaps, tuples and sets. Students will learn how to create, access and modify these structures.
Simple algorithms and problem solving
Participants are introduced to basic sorting algorithms such as bubble sort and selection sort. They will also learn about search algorithms such as linear and binary search. Systematic problem-solving strategies and debugging methods are discussed.
Object-oriented programming (OOP)
The basic principles of object-oriented programming are taught, including classes, objects, attributes and methods. Concepts such as inheritance, polymorphism and encapsulation are fundamentally explained and illustrated with simple examples.
Simple projects and practical applications
Participants put their knowledge into practice in small, practical projects, such as the development of a calculator, a to-do list or a simple game. Finally, simple techniques for checking and improving your own code through code reviews are covered.
- PROGRAMMING LANGUAGES / TYPES
- Principles and concepts of programming languages
- Differences between high-level and low-level languages
- HOW DO THEY WORK?
- From visual programming to 0 and 1 (machine-oriented languages)
- Different levels of programming
- Examples of visual and machine-oriented programming languages
- BASICS OF PROGRAMMING
- Syntax and semantics: explanation of syntax rules and the meaning of lines of code
- Variables and data types: Different data types (integer, float, string, boolean) and how to declare and use variables
- Operators: Arithmetic, logical and comparison operators
- DESIGN PATTERNS
- Definition and purpose of design patterns
- Examples of common design patterns (singleton, factory, observer)
- Application and advantages of design patterns in software development
- CONTROL STRUCTURES
- Conditions and branches: if, else, and elif statements
- Loops: for and while loops, as well as the meaning of loop control (break, continue)
- FUNCTIONS AND MODULARITY
- Definition and calling of functions: Parameters, return values and the importance of code reusability
- Basic principles of modularity: how to divide code into manageable, reusable modules
- BASIC DATA STRUCTURES
- Lists and arrays: Creating, accessing, and modifying elements
- Dictionaries and hashmaps: Basic understanding and application
- Tuples and sets: use and differences to lists and dictionaries
- SIMPLE ALGORITHMS AND PROBLEM SOLVING
- Sorting algorithms: Introduction to simple sorting methods such as bubble sort and selection sort
- Searching: Linear and binary searches
- Problem solving strategies: Approach methods for systematic problem solving and debugging
- OBJECT-ORIENTED PROGRAMMING (OOP)
- Basic principles of OOP: classes, objects, attributes, methods
- Concepts such as inheritance, polymorphism and encapsulation: basic explanations and simple examples
- SIMPLE PROJECTS AND PRACTICAL APPLICATIONS
- Small projects: Practice-oriented exercises such as a calculator, a to-do list, or a simple game
- Code reviews: Simple techniques for reviewing and improving your own code
Show chapter
Databases
The subject "Databases" provides a basic introduction to the concepts and applications of databases. It aims to provide participants with a sound understanding of the different types of databases, their benefits and the most commonly used database systems. Here are the main topics covered in this module:
What are databases?
A database is a structured collection of data. There are relational databases, which organize data into tables with relationships, and non-relational databases, which are more flexible and are often used for specific applications such as big data.
Why do you need databases?
Databases offer efficient data management, fast queries and increased data security. They are essential for applications such as customer databases, financial systems and warehouse management.
The most commonly used databases:
MySQL: Open source, widely used for web applications.
PostgreSQL: Advanced functions and SQL support.
Oracle Database: Highly scalable, for large companies.
Microsoft SQL Server: Integrated into the Windows environment.
MongoDB: NoSQL database for unstructured data.
SQLite: Lightweight, ideal for mobile applications.
This module provides a solid foundation for understanding and using databases.
What are databases?
A database is a structured collection of data. There are relational databases, which organize data into tables with relationships, and non-relational databases, which are more flexible and are often used for specific applications such as big data.
Why do you need databases?
Databases offer efficient data management, fast queries and increased data security. They are essential for applications such as customer databases, financial systems and warehouse management.
The most commonly used databases:
MySQL: Open source, widely used for web applications.
PostgreSQL: Advanced functions and SQL support.
Oracle Database: Highly scalable, for large companies.
Microsoft SQL Server: Integrated into the Windows environment.
MongoDB: NoSQL database for unstructured data.
SQLite: Lightweight, ideal for mobile applications.
This module provides a solid foundation for understanding and using databases.
- WHAT ARE DATABASES?
- Definition and basic concepts of databases
- Relational vs. non-relational databases
- WHY DO YOU NEED THEM?
- Advantages of using databases
- Examples of database applications
- THE MOST COMMONLY USED DATABASES
- Overview of the most commonly used databases
- Features and areas of application of the most popular database systems
Show chapter
Introduction to electronic data processing (EDP)
The subject "Introduction to electronic data processing (EDP)" teaches basic knowledge and the importance of data processing in various areas of life. Students learn about the historical development and practical applications.
Importance and necessity of data processing
Data processing is indispensable in almost all areas of modern life. It enables the efficient management and analysis of large amounts of data, improves decision-making and optimizes business processes. In today's digital world, the ability to process data is an essential prerequisite for success in many professions and industries.
History of data processing
The history of data processing goes back a long way, from the first mechanical calculating machines to modern computers. Important milestones include the invention of punch card machines, the development of the first computers in the 1940s and the rapid development of technology in the 20th and 21st centuries. This evolution has fundamentally changed the way we process and use data.
Examples from practice
Healthcare: Electronic patient records enable efficient management of patient data and improve the quality of medical care through quick access to relevant information.
Business: Companies use data processing to optimize business processes, customer management and for data-driven marketing strategies.
Science: In research, large amounts of data are analyzed in order to gain scientific knowledge and drive innovation, for example in genome research or climate modelling.
Importance and necessity of data processing
Data processing is indispensable in almost all areas of modern life. It enables the efficient management and analysis of large amounts of data, improves decision-making and optimizes business processes. In today's digital world, the ability to process data is an essential prerequisite for success in many professions and industries.
History of data processing
The history of data processing goes back a long way, from the first mechanical calculating machines to modern computers. Important milestones include the invention of punch card machines, the development of the first computers in the 1940s and the rapid development of technology in the 20th and 21st centuries. This evolution has fundamentally changed the way we process and use data.
Examples from practice
Healthcare: Electronic patient records enable efficient management of patient data and improve the quality of medical care through quick access to relevant information.
Business: Companies use data processing to optimize business processes, customer management and for data-driven marketing strategies.
Science: In research, large amounts of data are analyzed in order to gain scientific knowledge and drive innovation, for example in genome research or climate modelling.
- IMPORTANCE AND NECESSITY OF DATA PROCESSING IN VARIOUS AREAS OF LIFE
- Relevance of data processing in everyday life
- Areas of application of IT in various sectors
- Advantages of IT in modern society
- HISTORY OF DATA PROCESSING
- Development of data processing from its beginnings to the present day
- Milestones and important inventions in data processing
- Evolution of computer technology and its effects
- EXAMPLES FROM PRACTICE (E.G. HEALTHCARE, BUSINESS, SCIENCE)
- Application of EDP in the healthcare sector: Patient management, diagnostic support, research
- Use of IT in business: business processes, accounting, marketing analyses
- Role of IT in science: data analysis, simulations, scientific publications
Show chapter
Security IT competence
The subject "Security" provides basic knowledge in the areas of data protection, authentication and cyber security. It covers the following topics:
Data protection basics
Data protection basics
- Data protection basics: protection of personal data.
- Important laws and regulations: GDPR and its requirements.
- Measures to protect privacy: Techniques for securing privacy.
Authentication basics
- Definition and meaning: identity verification for security.
- Various methods: passwords, biometric procedures, multi-factor authentication.
- Best practices: Secure authentication systems.
Cyber Security & Hacking
- Basics: Protection against digital threats.
- Common threats: Phishing, malware, DDoS attacks.
- Security measures: Use of firewalls and antivirus software.
This module prepares participants for the secure handling of data and systems.
- DATA PROTECTION BASICS
- Basics of data protection
- Important laws and regulations (e.g. GDPR)
- Measures to protect privacy
- AUTHENTICATION BASICS
- Definition and importance of authentication
- Various authentication methods (passwords, biometric methods)
- Best practices for secure authentication
- CYBER SECURITY & HACKING
- Basics of cyber security
- Common threats and attacks (phishing, malware, DDoS)
- Measures to increase security (firewalls, antivirus software)
Show chapter
Software
The subject "Software" provides an overview of the different types of software, their availability on different devices, the production and distribution processes and the communication between software programs.
There are two main categories of software: system software, such as operating systems and drivers, and application software, such as word processing programs and games. Software is available on various devices, including desktop computers, mobile devices and embedded systems. There is both platform-independent software and platform-specific applications.
Software is produced using various development processes such as agile and the waterfall model. Version control and continuous integration/deployment (CI/CD) are crucial for efficient software development. Software can be distributed on-premises, cloud-based or as a mobile app.
Software communicates with each other via interfaces such as APIs and webhooks. These enable the integration of services and real-time notification between different applications.
This module comprehensively prepares participants to understand and use software in practice.
- WHAT TYPES OF SOFTWARE ARE THERE?
- System software vs. application software
- Examples of different software categories
- ON WHICH DEVICES IS IT AVAILABLE?
- Desktop, mobile devices, embedded systems
- Platform independence and platform-specific applications
- HOW IS SOFTWARE PRODUCED AND DISTRIBUTED?
- Development processes (agile, waterfall model)
- Version control and continuous integration/continuous deployment (CI/CD)
- Distribution of software (on-premises, cloud-based, mobile apps)
- HOW DOES SOFTWARE COMMUNICATE WITH SOFTWARE? (INTERFACES)
- Definition and types of interfaces (APIs, webhooks)
- Examples and applications of software communication
Show chapter
Tools
The subject "Tools" offers a comprehensive insight into the various tools and environments used for the development and use of modern software solutions. This includes basic development tools, the use of the command line, version control and an introduction to artificial intelligence (AI). This section is supplemented by knowledge checks and practical tasks.
Understanding the working environment
Students will be introduced to basic development tools, including text editors such as Visual Studio Code and Sublime Text, and integrated development environments (IDEs) such as PyCharm and Eclipse. They will learn the basic command line commands used for navigation and file management. In addition, you will receive an introduction to version control with Git and learn the basic commands for managing code versions.
Artificial intelligence
The basic concepts of artificial intelligence are explained, including definitions and different areas such as machine learning and neural networks. Participants will learn about use cases and examples of the application of AI in everyday life and discuss the benefits and challenges of AI technologies.
This module prepares participants to work effectively with modern development tools and to develop a fundamental understanding of artificial intelligence.
Understanding the working environment
Students will be introduced to basic development tools, including text editors such as Visual Studio Code and Sublime Text, and integrated development environments (IDEs) such as PyCharm and Eclipse. They will learn the basic command line commands used for navigation and file management. In addition, you will receive an introduction to version control with Git and learn the basic commands for managing code versions.
Artificial intelligence
The basic concepts of artificial intelligence are explained, including definitions and different areas such as machine learning and neural networks. Participants will learn about use cases and examples of the application of AI in everyday life and discuss the benefits and challenges of AI technologies.
This module prepares participants to work effectively with modern development tools and to develop a fundamental understanding of artificial intelligence.
- UNDERSTANDING THE WORKING ENVIRONMENT
- Simple development tools: Introduction to text editors (e.g. Visual Studio Code, Sublime Text) and IDEs (e.g. PyCharm, Eclipse)
- Command line/terminal: Basic commands for navigation and file management
- Versioning: Introduction to Git and basic commands for version control
- ARTIFICIAL INTELLIGENCE
- Definition and basic concepts of AI
- Different areas of AI (machine learning, neural networks)
- Use cases and examples of AI in everyday life
- Advantages and challenges of AI technologies
Show chapter
Module MS Excel basics
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Data analysis and scenarios
This subject focuses on advanced techniques of data analysis and the use of scenarios in Excel. Students will learn to:
Analyze tables and lists: Students will learn how to use pivot tables and pivot charts to effectively analyze and visualize large amounts of data. They will learn how to create, customize and interpret pivot tables to gain valuable insights into the data.
Filtering and sorting data: This module teaches advanced techniques for filtering and sorting data. Participants will learn how to apply complex filtering criteria and sort data in multiple levels to extract relevant information quickly and accurately.
Create and use scenarios: Participants will learn how to create and use different scenarios to perform hypothetical analysis. This includes creating what-if analyses to explore the impact of different assumptions and decisions on their data and make informed decisions. These two subjects provide participants with valuable skills to increase and execute their productivity, helping them to make informed decisions in their everyday professional lives.
Analyze tables and lists: Students will learn how to use pivot tables and pivot charts to effectively analyze and visualize large amounts of data. They will learn how to create, customize and interpret pivot tables to gain valuable insights into the data.
Filtering and sorting data: This module teaches advanced techniques for filtering and sorting data. Participants will learn how to apply complex filtering criteria and sort data in multiple levels to extract relevant information quickly and accurately.
Create and use scenarios: Participants will learn how to create and use different scenarios to perform hypothetical analysis. This includes creating what-if analyses to explore the impact of different assumptions and decisions on their data and make informed decisions. These two subjects provide participants with valuable skills to increase and execute their productivity, helping them to make informed decisions in their everyday professional lives.
- ANALYZE TABLES AND LISTS:
- Using pivot tables and pivot charts to analyze and visualize large amounts of data
- Creating, customizing and interpreting pivot tables
- FILTERING AND SORTING DATA:
- Applying advanced filtering and sorting techniques
- Complex filter criteria and multi-level sorting for precise extraction of relevant information
- CREATE AND USE SCENARIOS:
- Creating and using scenarios for hypothetical analyses (what-if analyses)
- Investigating the impact of different assumptions and decisions on the data
- MONITORING AND VALIDATING DATA:
- Setting up monitoring rules and using validation and error checking functions
- Ensuring data integrity and accuracy
Show chapter
Introduction to the Excel working environment
In this subject you will get to know the basic working environment of Excel. The focus is on providing you with a solid foundation on which you can build to use Excel efficiently and effectively.
Overview of the user interface: You will receive a detailed overview of the Excel user interface. This includes an explanation of the various elements, such as the ribbon, the quick access toolbar and the workbook. You will learn how to move around in Excel, open and close worksheets and switch between different views.
Menus and tools: We will guide you through the various menus and tools that Excel offers. You will learn how the tabs in the ribbon are structured and which functions are hidden behind the respective tabs. From file operations and data analysis tools to charting and formatting options - you will learn where to find which tools and how to use them.
Customize the status bar: The status bar at the bottom of the Excel window gives you important information at a glance. You will learn how to customize the status bar to display exactly the information you need, e.g. sum, average or number of selected cells. This helps you to work more efficiently and access relevant data quickly.
Important basic functions: We will show you the most important basic functions to help you get started with Excel. This includes basic operations such as creating, saving and opening workbooks. You will learn how to enter data in cells and perform simple calculations. We also explain how to carry out basic formatting to make your data clear and appealing.
This comprehensive introduction to the Excel working environment will lay the foundations for your future work with this powerful tool. You will be able to navigate confidently in Excel, use the most important functions and manage and edit your first data efficiently.
- OVERVIEW OF THE USER INTERFACE
- Menus and tools
- Customize status bar
- Workbooks
- IMPORTANT BASIC FUNCTIONS
- Creating, saving and opening workbooks
- Basic formatting and calculations
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Advanced functions and techniques
In this subject, students will learn how to use advanced functions and techniques in Excel to perform complex data analysis and calculations. Here are the key learning points:
Advanced Formatting: Students will learn how to create and apply custom number formats to present data specifically and clearly. This includes the use of custom formatting rules to display currencies, percentages or custom text formats, for example.
Advanced conditional formatting: This module covers the application of complex conditional formatting to automatically highlight data based on specific criteria. Participants will learn how to combine and apply multiple rules to visually support their data analysis.
Application of functions from different categories: Students will learn how to use advanced functions from the logic, statistics, financial math, and math categories.
- ADVANCED FORMATTING
- Creation and application of user-defined number formats for the specific and clear presentation of data
- Use of user-defined formatting rules (e.g. currencies, percentages)
- ADVANCED CONDITIONAL FORMATTING
- Application of complex conditional formatting to visually support data analysis
- Combination and application of multiple conditional formatting rules
- APPLICATION OF FUNCTIONS FROM DIFFERENT CATEGORIES
- Use of advanced functions from the categories of logic, statistics, financial mathematics and mathematics:
- Logic functions: If, And, Or, Not
- Statistical functions: Mean, Median, Mode, Stabw
- Financial mathematical functions: Interest, Rmz, Ikv
- Mathematical functions: Sum, sum-if, sum-product
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Consolidation and structuring
In this subject, participants learn how to consolidate data from several worksheets and workbooks and present it in a structured way. The main learning contents are
Consolidation of data:
Participants will learn how to merge data from different sources and worksheets to create a unified database. This includes using consolidation functions and tools in Excel to calculate totals, averages and other aggregated data.
Working with relationships:
Students will learn how to create and manage links between worksheets and workbooks. They will learn how to dynamically link data so that changes in a source are automatically updated in the linked workbook.
Organizing data:
Participants will learn techniques for organizing and structuring data. This includes creating outlines to divide large amounts of data into manageable sections and using grouping functions to organize and present data hierarchically.
Merging and comparing workbooks:
This module covers methods for merging multiple workbooks. Participants will learn how to compare and consolidate data from different workbooks to create consistent and complete data sets.
Consolidation of data:
Participants will learn how to merge data from different sources and worksheets to create a unified database. This includes using consolidation functions and tools in Excel to calculate totals, averages and other aggregated data.
Working with relationships:
Students will learn how to create and manage links between worksheets and workbooks. They will learn how to dynamically link data so that changes in a source are automatically updated in the linked workbook.
Organizing data:
Participants will learn techniques for organizing and structuring data. This includes creating outlines to divide large amounts of data into manageable sections and using grouping functions to organize and present data hierarchically.
Merging and comparing workbooks:
This module covers methods for merging multiple workbooks. Participants will learn how to compare and consolidate data from different workbooks to create consistent and complete data sets.
- CONSOLIDATION OF DATA
- Merging data from different sources and spreadsheets to create a unified database
- Use consolidation functions and tools to calculate totals, averages and other aggregated data
- WORKING WITH LINKS
- Create and manage links between worksheets and workbooks
- Dynamically link data so that changes in a source are automatically updated in the linked workbook
- STRUCTURING DATA
- Create outlines to structure large amounts of data into manageable sections
- Use grouping functions to display and organize data hierarchically
- MERGING AND COMPARING WORKBOOKS
- Methods for merging and consolidating multiple workbooks
- Compare and consolidate data from different workbooks to create consistent data sets
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Professional use of diagrams
In this subject, participants learn how to use advanced charting techniques to visualize their data in a professional and appealing way. The main learning contents are:
Advanced charting techniques: Students will learn advanced techniques for designing and customizing charts. This includes adding trend lines, formatting data series and axes, and applying custom chart elements.
Using Chart Templates: Participants will learn how to create and use chart templates to quickly create consistent and professional charts. They will learn how to save custom templates and apply them to different data sets.
Dynamic Charts: This module covers the creation of dynamic charts that automatically adapt to changes in the underlying data. Participants will learn how to define data ranges and create charts that update based on dynamic data.
Data Visualization with Sparklines: Participants will learn how to use sparklines to display data trends and patterns in compact charts embedded in individual cells. This technique enables quick and efficient visualization of data directly in the worksheets.
- CREATING DIAGRAMS
- Basics of creating charts in Excel
- Creation of different chart types (e.g. column, line, pie and bar charts)
- ADVANCED CHARTING TECHNIQUES
- Designing and customizing charts by adding trend lines and formatting data series and axes
- Application of user-defined chart elements for better data visualization
- USE OF CHART TEMPLATES
- Create and use chart templates to create professional charts quickly and consistently
- Save and apply custom templates to different data sets
- DYNAMIC CHARTS
- Create dynamic charts that automatically adapt to changes in the underlying data
- Define data ranges to create and update dynamic charts
- DATA VISUALIZATION WITH SPARKLINES
- Use sparklines to visualize data trends and patterns in compact charts embedded in individual cells
- Quick and efficient visualization of data directly in the worksheets
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Recognition of our IT training courses
Training certification
There are no uniformly standardized training paths in the field of IT training. However, this does not mean that the quality and recognition of our training programs are compromised. Our training institute is ISO 9001 certified and recognized. This certification confirms our commitment to the highest quality standards and continuous improvement.
Through our ISO 9001 certification, we ensure that our IT training programs - including our PHP programmer, web developer, programmer courses, and more - are developed and delivered according to international quality standards. You benefit from structured, practical curricula, experienced instructors and a high level of support during your training.
Institute certification
As a recognized institution in adult education, we subject our curricula to regular evaluations that are recognized by state authorities and funding bodies. Our ongoing goal is to exceed current quality standards and thus guarantee you first-class training. Convince yourself of our certifications.
Our certification gives you the certainty that you are receiving high-quality, recognized training that will optimally prepare you for your professional future.
Funding & educational leave - how it works
Can I get funding for my training?
At the Flexyfit EDV Academy, you have a wide range of options for funding your training. There are various funding programs at federal state and EU level as well as tax incentives that serve as a basis.
Please note, however, that the decision on the allocation and amount of funding is the sole responsibility of the respective funding body.
We will be happy to help you find a suitable funding body and provide you with all the course information you need to apply for funding. You must submit the application itself to the relevant funding body.
How does the funding work?
Depending on the funding institution, your training will be financed either through direct assumption of costs after confirmation of the funding application (e.g. AMS) or through full or partial reimbursement after successful completion of the training (e.g. Waff). We recommend that you contact the relevant funding institutions in person to find out about individual funding options.Can I take educational leave for the course?
Yes, the majority of our courses are suitable for educational leave.
If you would like to continue your education without terminating your employment, you can arrange educational leave with your employer. You will be released from work for the duration of the training.
Plan your educational leave with us now! We will be happy to clarify your individual training requirements with you in a personal, non-binding consultation .
How does educational leave work?
You can take your educational leave for a maximum of- Educational leave over a period of 12 months in one go
- split up, whereby each part must last at least
2 months . The parts must be taken within4 years . - Educational leave with part-time educational leave extending over
2 years
Please note that this is a general summary and it is advisable to check with the relevant bodies or authorities for further details and conditions.
Your employer's consent is essential for educational leave. You must submit the training plans issued by us, which require 20 hours per week for full-time educational leave or at least 10 hours per week for part-time educational leave.
It is also necessary to provide regular proof of the progress of your training, for example through examinations or attendance certificates issued by us.
Paths after training - career opportunities and prospects
What career opportunities open up after the "WordPress Professional: Advanced course with a practical focus" course?
After completing the "WordPress Professional" course, you will have the opportunity to take the WordPress skills you have already acquired to a professional level. This course enables you to gain deeper insights into advanced functions and techniques and gain practical experience that is essential for professional web development. The following opportunities are available to you:
Expand and deepen your skills: By attending this advanced course, your existing knowledge and skills in WordPress will be significantly enhanced. You will learn how to create complex websites, integrate sophisticated plugins and develop individual themes. This will enable you to successfully implement even complex projects and turn your creative ideas into reality.
Self-employment: With the in-depth knowledge and practical experience from the advanced course, you will be able to offer your services as a professional web designer and developer. You will have the opportunity to realize larger and more demanding projects for different clients, which will open up new career prospects and sources of income for you.
Career opportunities in advertising companies: The skills you learn on the course will make you a valuable employee in advertising agencies or corporate marketing departments. Your knowledge of web design and WordPress website management will enable you to contribute creatively and effectively to the design and maintenance of corporate websites. You can apply for positions dealing with web design, content management or digital marketing.
The "WordPress Professional" course, including the Introduction to WordPress course, therefore not only offers you the opportunity to further develop your personal and professional skills, but also the chance to establish yourself as a highly qualified professional in the web design and web development industry.
JavaScript basics: the perfect introduction to programming
Expand your skills and immerse yourself in the world of web development with our JavaScript - Fundamentals course. Whether you're just starting out or already have some programming experience, this course will give you the knowledge you need to use JavaScript effectively and create dynamic web applications. Learn hands-on and at your own pace with numerous examples and exercises to help you immediately apply and deepen what you have learned.
In our course, you will be introduced to the world of JavaScript step by step. You will learn the basic syntax and the most important concepts you need to realize your first projects. The course is practice-oriented and contains numerous examples and exercises so that you can immediately apply and deepen what you have learned.
What can you expect from our training?
The course content includes an introduction to JavaScript, where you will understand the basics and the importance of the language in modern web development. You will learn the basic syntax, variables, data types and operators. You will also become familiar with control structures such as loops and conditions, which enable you to control the program flow. The creation and use of functions for reusable and structured code is also an important part of the course. In addition, you will learn how to dynamically modify and customize web content by accessing the Document Object Model (DOM) and how to handle user interactions and events to develop responsive web applications. All these topics are complemented by practical projects that apply what you have learned in real-life scenarios.
Who is the course suitable for?
This course is ideal for beginners who have little or no programming experience and want to learn the basics of JavaScript from scratch. Advanced learners who already know other programming languages and want to extend their knowledge to JavaScript are also in the right place. Professionals in the IT sector who want to add another important technology to their skills will also benefit from this course.
Do you want to delve even deeper into JavaScript? Then take our JavaScript - Basics and Advanced course or the JavaScript Developer course.
Conditions of participation
- Online or written registration
- Basic IT knowledge is recommended but not required
- Minimum age 18 years (for participants under 18 years, written parental consent is required for registration)
- Access to an internet-enabled device
- Access to a stable internet connection
Certificate of completion
Our certificates are valid worldwide and are issued in different versions. On request, you can receive our certificate in several languages, with country-specific information and with or without printed grades.
All of these variants are available to you free of charge for a lifetime for downloading from your online campus. In addition, depending on the learning package you have purchased, you will receive a certificate of your choice, which will be issued on special high-quality embossed paper.
The following certificate is awarded:
"JavaScript - Fundamentals"
Do you have specific questions about the training?
We will be happy to help you by phone, e-mail or chat.
Procedure & duration - How your training is structured
The training consists of three modules
You can find the list of modules and subjects by clicking on the "Course content" tab.Duration of the course
As our training courses can be designed very flexibly, the duration of the training depends heavily on your own learning initiative, the amount of time you spend each week and your previous knowledge. Depending on how much time you can invest and how quickly you absorb the required knowledge, it is also possible to complete the training more quickly.Online live training via Zoom
The training is conducted live online via Zoom. The instructors teach in real time and share their screen so that you can follow the lessons from the comfort of your own home. You have access to all dates and the link to the live webinar via the Online Campus, so you can easily take part from home.You will receive the Zoom meeting link by e-mail before the start of the course and it will also be available on our Flexyfit learning platform. Please make sure that you have entered your current e-mail address when registering.
With online distance learning courses, you set the tone
Learn at your own pace, when and where you want. The Academy account accompanies you on your computer, tablet or smartphone and contains everything you need for the course.You decide how you learn
You can choose from a wide range of Full HD learning videos in which our top instructors teach you the training content. You can also read the content in our scripts and presentations.No pain, no gain
Along the way, you will work your way through a variety of compulsory and additional tasks. These include writing a simple program, carrying out a security analysis or using a cloud service. All tasks are explained in a step-by-step guide so that you can apply what you have learned in practice.Last but not least... Exams
You can expect lots of multiple choice online exams to test your knowledge. You can take a test exam before each exam to be optimally prepared.
Detailed Course Contents
Extent of learning
467 E | Volume
EDK
187
IT competence
PL
240
Presence | Self-study
RE
8
Literature research
TE
24
Practical realization
AE
8
Additional tasks & examinations
This training is suitable for educational leave. The individual review and approval is subject to the respective funding agency. For more detailed information on the duration and procedure of educational leave, please contact us directly! Book a consultation appointment now.
Participation in the face-to-face webinars is mandatory for educational leave and must be proven to the AMS. Confirmation of attendance must be requested on the participant's own responsibility. Confirmation of attendance of the face-to-face webinar will only be issued during each webinar if requested by the participant.
Module IT competence
Show all chapters of the subjects
Basic knowledge of EDP
The subject "Basic IT knowledge" teaches basic knowledge and concepts of electronic data processing. It offers a comprehensive introduction to the world of computer technology, operating systems, networks and much more.
A computer is an electronic device that is used to process data. It performs calculations, stores and processes information. There are different types of computers, including personal computers (PCs), servers and embedded systems. Each type has specific applications and functions.
An operating system manages the hardware and software resources of a computer. It enables the execution of applications and ensures communication between hardware and software. The best-known operating systems include Windows, macOS and Linux, although each operating system has its own characteristics and areas of application.
Code can be translated by either compilers or interpreters. Compilers convert the entire code into machine language, while interpreters execute the code line by line. The fetch-decode-execute cycle describes the process by which the processor fetches, decodes and executes instructions.
A process is a program that is being executed. The management of processes includes the allocation of resources and the monitoring of their execution. Multitasking enables the simultaneous execution of several processes, whereby process scheduling determines which processes are executed when and for how long.
Hardware is controlled by special software known as drivers. Drivers enable communication between the operating system and hardware components by forwarding specific commands and data.
This module provides a solid foundation in the basic principles of electronic data processing and prepares students to understand and apply more complex concepts in IT.
A computer is an electronic device that is used to process data. It performs calculations, stores and processes information. There are different types of computers, including personal computers (PCs), servers and embedded systems. Each type has specific applications and functions.
An operating system manages the hardware and software resources of a computer. It enables the execution of applications and ensures communication between hardware and software. The best-known operating systems include Windows, macOS and Linux, although each operating system has its own characteristics and areas of application.
Code can be translated by either compilers or interpreters. Compilers convert the entire code into machine language, while interpreters execute the code line by line. The fetch-decode-execute cycle describes the process by which the processor fetches, decodes and executes instructions.
A process is a program that is being executed. The management of processes includes the allocation of resources and the monitoring of their execution. Multitasking enables the simultaneous execution of several processes, whereby process scheduling determines which processes are executed when and for how long.
Hardware is controlled by special software known as drivers. Drivers enable communication between the operating system and hardware components by forwarding specific commands and data.
This module provides a solid foundation in the basic principles of electronic data processing and prepares students to understand and apply more complex concepts in IT.
- WHAT IS A CALCULATOR?
- Definition and basic concepts
- Different types of computers (PCs, servers, embedded systems)
- WHAT IS AN OPERATING SYSTEM?
- Tasks of an operating system
- Examples of common operating systems (Windows, macOS, Linux)
- HOW IS CODE EXECUTED?
- Translation and execution of code (compiler vs. interpreter)
- Sequence of code execution (fetch-decode-execute cycle)
- WHAT ARE PROCESSES?
- Definition and management of processes
- Multitasking and process scheduling
- HOW IS HARDWARE CONTROLLED?
- Basics of hardware control
- Drivers and their role in the system
- WHAT IS A PROGRAM?
- Definition of a program
- Differences between applications and system software
- NETWORK BASICS
- Basics of network technology
- Network protocols and architectures (TCP/IP, OSI model)
- WHAT IS A SERVER?
- Definition and tasks of a server
- Differences between server and client systems
- Examples and areas of application of servers
- WHAT IS THE CLOUD?
- Definition and basics of cloud technology
- Differences between public, private and hybrid cloud
- Advantages and challenges of using the cloud
- INTERNET OF THINGS (IOT)
- Definition and basics of the IoT
- Examples of IoT applications (smart homes, Industry 4.0)
- Challenges and future of the IoT
- SERVICES
- Definition and importance of IT services
- Different types of services (web services, microservices)
- Examples and areas of application of IT services
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Coding
The subject "Coding " teaches basic and advanced concepts of programming and software development. It aims to provide participants with a sound understanding of the various programming languages, principles and techniques. In addition, what has been learned is consolidated through knowledge tests and practical tasks. Here are the main topics covered in this module:
Programming languages and how they work
Participants will learn the basic principles and concepts of programming languages. An overview of high-level and low-level programming languages will be given, with the differences between these types clearly highlighted. High-level languages such as Python and Java are compared to machine-oriented languages such as Assembly.
From Visual Programming to 0 and 1
This section covers the range of programming from visual programming languages to machine-oriented languages. Examples of visual programming languages, such as Scratch, and machine-oriented languages, such as Assembly, are presented. The different levels of programming and their applications are explained.
Fundamentals of programming
The basic concepts of programming are taught here. These include the syntax and semantics of programming languages, the declaration and use of variables and data types (such as integer, float, string, boolean), as well as the use of arithmetic, logical and comparison operators.
Design patterns
Design patterns are proven solution patterns for recurring problems in software development. Participants learn the definition and purpose of design patterns and are given examples of common patterns such as singleton, factory and observer. The application and advantages of design patterns in software development are also discussed.
Control structures
This section covers the basic control structures in programming, including conditions and branching with if, else and elif statements as well as loops such as for and while loops. The importance of loop control using break and continue is also explained.
Functions and modularity
Participants will learn how to define and call functions, including parameters, return values and code reusability. The basic principles of modularity and the division of code into manageable, reusable modules are also covered.
Basic data structures
This section provides a basic understanding of data structures such as lists, arrays, dictionaries, hashmaps, tuples and sets. Students will learn how to create, access and modify these structures.
Simple algorithms and problem solving
Participants are introduced to basic sorting algorithms such as bubble sort and selection sort. They will also learn about search algorithms such as linear and binary search. Systematic problem-solving strategies and debugging methods are discussed.
Object-oriented programming (OOP)
The basic principles of object-oriented programming are taught, including classes, objects, attributes and methods. Concepts such as inheritance, polymorphism and encapsulation are fundamentally explained and illustrated with simple examples.
Simple projects and practical applications
Participants put their knowledge into practice in small, practical projects, such as the development of a calculator, a to-do list or a simple game. Finally, simple techniques for checking and improving your own code through code reviews are covered.
Programming languages and how they work
Participants will learn the basic principles and concepts of programming languages. An overview of high-level and low-level programming languages will be given, with the differences between these types clearly highlighted. High-level languages such as Python and Java are compared to machine-oriented languages such as Assembly.
From Visual Programming to 0 and 1
This section covers the range of programming from visual programming languages to machine-oriented languages. Examples of visual programming languages, such as Scratch, and machine-oriented languages, such as Assembly, are presented. The different levels of programming and their applications are explained.
Fundamentals of programming
The basic concepts of programming are taught here. These include the syntax and semantics of programming languages, the declaration and use of variables and data types (such as integer, float, string, boolean), as well as the use of arithmetic, logical and comparison operators.
Design patterns
Design patterns are proven solution patterns for recurring problems in software development. Participants learn the definition and purpose of design patterns and are given examples of common patterns such as singleton, factory and observer. The application and advantages of design patterns in software development are also discussed.
Control structures
This section covers the basic control structures in programming, including conditions and branching with if, else and elif statements as well as loops such as for and while loops. The importance of loop control using break and continue is also explained.
Functions and modularity
Participants will learn how to define and call functions, including parameters, return values and code reusability. The basic principles of modularity and the division of code into manageable, reusable modules are also covered.
Basic data structures
This section provides a basic understanding of data structures such as lists, arrays, dictionaries, hashmaps, tuples and sets. Students will learn how to create, access and modify these structures.
Simple algorithms and problem solving
Participants are introduced to basic sorting algorithms such as bubble sort and selection sort. They will also learn about search algorithms such as linear and binary search. Systematic problem-solving strategies and debugging methods are discussed.
Object-oriented programming (OOP)
The basic principles of object-oriented programming are taught, including classes, objects, attributes and methods. Concepts such as inheritance, polymorphism and encapsulation are fundamentally explained and illustrated with simple examples.
Simple projects and practical applications
Participants put their knowledge into practice in small, practical projects, such as the development of a calculator, a to-do list or a simple game. Finally, simple techniques for checking and improving your own code through code reviews are covered.
- PROGRAMMING LANGUAGES / TYPES
- Principles and concepts of programming languages
- Differences between high-level and low-level languages
- HOW DO THEY WORK?
- From visual programming to 0 and 1 (machine-oriented languages)
- Different levels of programming
- Examples of visual and machine-oriented programming languages
- BASICS OF PROGRAMMING
- Syntax and semantics: explanation of syntax rules and the meaning of lines of code
- Variables and data types: Different data types (integer, float, string, boolean) and how to declare and use variables
- Operators: Arithmetic, logical and comparison operators
- DESIGN PATTERNS
- Definition and purpose of design patterns
- Examples of common design patterns (singleton, factory, observer)
- Application and advantages of design patterns in software development
- CONTROL STRUCTURES
- Conditions and branches: if, else, and elif statements
- Loops: for and while loops, as well as the meaning of loop control (break, continue)
- FUNCTIONS AND MODULARITY
- Definition and calling of functions: Parameters, return values and the importance of code reusability
- Basic principles of modularity: how to divide code into manageable, reusable modules
- BASIC DATA STRUCTURES
- Lists and arrays: Creating, accessing, and modifying elements
- Dictionaries and hashmaps: Basic understanding and application
- Tuples and sets: use and differences to lists and dictionaries
- SIMPLE ALGORITHMS AND PROBLEM SOLVING
- Sorting algorithms: Introduction to simple sorting methods such as bubble sort and selection sort
- Searching: Linear and binary searches
- Problem solving strategies: Approach methods for systematic problem solving and debugging
- OBJECT-ORIENTED PROGRAMMING (OOP)
- Basic principles of OOP: classes, objects, attributes, methods
- Concepts such as inheritance, polymorphism and encapsulation: basic explanations and simple examples
- SIMPLE PROJECTS AND PRACTICAL APPLICATIONS
- Small projects: Practice-oriented exercises such as a calculator, a to-do list, or a simple game
- Code reviews: Simple techniques for reviewing and improving your own code
Show chapter
Databases
The subject "Databases" provides a basic introduction to the concepts and applications of databases. It aims to provide participants with a sound understanding of the different types of databases, their benefits and the most commonly used database systems. Here are the main topics covered in this module:
What are databases?
A database is a structured collection of data. There are relational databases, which organize data into tables with relationships, and non-relational databases, which are more flexible and are often used for specific applications such as big data.
Why do you need databases?
Databases offer efficient data management, fast queries and increased data security. They are essential for applications such as customer databases, financial systems and warehouse management.
The most commonly used databases:
MySQL: Open source, widely used for web applications.
PostgreSQL: Advanced functions and SQL support.
Oracle Database: Highly scalable, for large companies.
Microsoft SQL Server: Integrated into the Windows environment.
MongoDB: NoSQL database for unstructured data.
SQLite: Lightweight, ideal for mobile applications.
This module provides a solid foundation for understanding and using databases.
What are databases?
A database is a structured collection of data. There are relational databases, which organize data into tables with relationships, and non-relational databases, which are more flexible and are often used for specific applications such as big data.
Why do you need databases?
Databases offer efficient data management, fast queries and increased data security. They are essential for applications such as customer databases, financial systems and warehouse management.
The most commonly used databases:
MySQL: Open source, widely used for web applications.
PostgreSQL: Advanced functions and SQL support.
Oracle Database: Highly scalable, for large companies.
Microsoft SQL Server: Integrated into the Windows environment.
MongoDB: NoSQL database for unstructured data.
SQLite: Lightweight, ideal for mobile applications.
This module provides a solid foundation for understanding and using databases.
- WHAT ARE DATABASES?
- Definition and basic concepts of databases
- Relational vs. non-relational databases
- WHY DO YOU NEED THEM?
- Advantages of using databases
- Examples of database applications
- THE MOST COMMONLY USED DATABASES
- Overview of the most commonly used databases
- Features and areas of application of the most popular database systems
Show chapter
Introduction to electronic data processing (EDP)
The subject "Introduction to electronic data processing (EDP)" teaches basic knowledge and the importance of data processing in various areas of life. Students learn about the historical development and practical applications.
Importance and necessity of data processing
Data processing is indispensable in almost all areas of modern life. It enables the efficient management and analysis of large amounts of data, improves decision-making and optimizes business processes. In today's digital world, the ability to process data is an essential prerequisite for success in many professions and industries.
History of data processing
The history of data processing goes back a long way, from the first mechanical calculating machines to modern computers. Important milestones include the invention of punch card machines, the development of the first computers in the 1940s and the rapid development of technology in the 20th and 21st centuries. This evolution has fundamentally changed the way we process and use data.
Examples from practice
Healthcare: Electronic patient records enable efficient management of patient data and improve the quality of medical care through quick access to relevant information.
Business: Companies use data processing to optimize business processes, customer management and for data-driven marketing strategies.
Science: In research, large amounts of data are analyzed in order to gain scientific knowledge and drive innovation, for example in genome research or climate modelling.
Importance and necessity of data processing
Data processing is indispensable in almost all areas of modern life. It enables the efficient management and analysis of large amounts of data, improves decision-making and optimizes business processes. In today's digital world, the ability to process data is an essential prerequisite for success in many professions and industries.
History of data processing
The history of data processing goes back a long way, from the first mechanical calculating machines to modern computers. Important milestones include the invention of punch card machines, the development of the first computers in the 1940s and the rapid development of technology in the 20th and 21st centuries. This evolution has fundamentally changed the way we process and use data.
Examples from practice
Healthcare: Electronic patient records enable efficient management of patient data and improve the quality of medical care through quick access to relevant information.
Business: Companies use data processing to optimize business processes, customer management and for data-driven marketing strategies.
Science: In research, large amounts of data are analyzed in order to gain scientific knowledge and drive innovation, for example in genome research or climate modelling.
- IMPORTANCE AND NECESSITY OF DATA PROCESSING IN VARIOUS AREAS OF LIFE
- Relevance of data processing in everyday life
- Areas of application of IT in various sectors
- Advantages of IT in modern society
- HISTORY OF DATA PROCESSING
- Development of data processing from its beginnings to the present day
- Milestones and important inventions in data processing
- Evolution of computer technology and its effects
- EXAMPLES FROM PRACTICE (E.G. HEALTHCARE, BUSINESS, SCIENCE)
- Application of EDP in the healthcare sector: Patient management, diagnostic support, research
- Use of IT in business: business processes, accounting, marketing analyses
- Role of IT in science: data analysis, simulations, scientific publications
Show chapter
Security IT competence
The subject "Security" provides basic knowledge in the areas of data protection, authentication and cyber security. It covers the following topics:
Data protection basics
Data protection basics
- Data protection basics: protection of personal data.
- Important laws and regulations: GDPR and its requirements.
- Measures to protect privacy: Techniques for securing privacy.
Authentication basics
- Definition and meaning: identity verification for security.
- Various methods: passwords, biometric procedures, multi-factor authentication.
- Best practices: Secure authentication systems.
Cyber Security & Hacking
- Basics: Protection against digital threats.
- Common threats: Phishing, malware, DDoS attacks.
- Security measures: Use of firewalls and antivirus software.
This module prepares participants for the secure handling of data and systems.
- DATA PROTECTION BASICS
- Basics of data protection
- Important laws and regulations (e.g. GDPR)
- Measures to protect privacy
- AUTHENTICATION BASICS
- Definition and importance of authentication
- Various authentication methods (passwords, biometric methods)
- Best practices for secure authentication
- CYBER SECURITY & HACKING
- Basics of cyber security
- Common threats and attacks (phishing, malware, DDoS)
- Measures to increase security (firewalls, antivirus software)
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Software
The subject "Software" provides an overview of the different types of software, their availability on different devices, the production and distribution processes and the communication between software programs.
There are two main categories of software: system software, such as operating systems and drivers, and application software, such as word processing programs and games. Software is available on various devices, including desktop computers, mobile devices and embedded systems. There is both platform-independent software and platform-specific applications.
Software is produced using various development processes such as agile and the waterfall model. Version control and continuous integration/deployment (CI/CD) are crucial for efficient software development. Software can be distributed on-premises, cloud-based or as a mobile app.
Software communicates with each other via interfaces such as APIs and webhooks. These enable the integration of services and real-time notification between different applications.
This module comprehensively prepares participants to understand and use software in practice.
- WHAT TYPES OF SOFTWARE ARE THERE?
- System software vs. application software
- Examples of different software categories
- ON WHICH DEVICES IS IT AVAILABLE?
- Desktop, mobile devices, embedded systems
- Platform independence and platform-specific applications
- HOW IS SOFTWARE PRODUCED AND DISTRIBUTED?
- Development processes (agile, waterfall model)
- Version control and continuous integration/continuous deployment (CI/CD)
- Distribution of software (on-premises, cloud-based, mobile apps)
- HOW DOES SOFTWARE COMMUNICATE WITH SOFTWARE? (INTERFACES)
- Definition and types of interfaces (APIs, webhooks)
- Examples and applications of software communication
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Tools
The subject "Tools" offers a comprehensive insight into the various tools and environments used for the development and use of modern software solutions. This includes basic development tools, the use of the command line, version control and an introduction to artificial intelligence (AI). This section is supplemented by knowledge checks and practical tasks.
Understanding the working environment
Students will be introduced to basic development tools, including text editors such as Visual Studio Code and Sublime Text, and integrated development environments (IDEs) such as PyCharm and Eclipse. They will learn the basic command line commands used for navigation and file management. In addition, you will receive an introduction to version control with Git and learn the basic commands for managing code versions.
Artificial intelligence
The basic concepts of artificial intelligence are explained, including definitions and different areas such as machine learning and neural networks. Participants will learn about use cases and examples of the application of AI in everyday life and discuss the benefits and challenges of AI technologies.
This module prepares participants to work effectively with modern development tools and to develop a fundamental understanding of artificial intelligence.
Understanding the working environment
Students will be introduced to basic development tools, including text editors such as Visual Studio Code and Sublime Text, and integrated development environments (IDEs) such as PyCharm and Eclipse. They will learn the basic command line commands used for navigation and file management. In addition, you will receive an introduction to version control with Git and learn the basic commands for managing code versions.
Artificial intelligence
The basic concepts of artificial intelligence are explained, including definitions and different areas such as machine learning and neural networks. Participants will learn about use cases and examples of the application of AI in everyday life and discuss the benefits and challenges of AI technologies.
This module prepares participants to work effectively with modern development tools and to develop a fundamental understanding of artificial intelligence.
- UNDERSTANDING THE WORKING ENVIRONMENT
- Simple development tools: Introduction to text editors (e.g. Visual Studio Code, Sublime Text) and IDEs (e.g. PyCharm, Eclipse)
- Command line/terminal: Basic commands for navigation and file management
- Versioning: Introduction to Git and basic commands for version control
- ARTIFICIAL INTELLIGENCE
- Definition and basic concepts of AI
- Different areas of AI (machine learning, neural networks)
- Use cases and examples of AI in everyday life
- Advantages and challenges of AI technologies
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Module MS Excel basics
Show all chapters of the subjects
Data analysis and scenarios
This subject focuses on advanced techniques of data analysis and the use of scenarios in Excel. Students will learn to:
Analyze tables and lists: Students will learn how to use pivot tables and pivot charts to effectively analyze and visualize large amounts of data. They will learn how to create, customize and interpret pivot tables to gain valuable insights into the data.
Filtering and sorting data: This module teaches advanced techniques for filtering and sorting data. Participants will learn how to apply complex filtering criteria and sort data in multiple levels to extract relevant information quickly and accurately.
Create and use scenarios: Participants will learn how to create and use different scenarios to perform hypothetical analysis. This includes creating what-if analyses to explore the impact of different assumptions and decisions on their data and make informed decisions. These two subjects provide participants with valuable skills to increase and execute their productivity, helping them to make informed decisions in their everyday professional lives.
Analyze tables and lists: Students will learn how to use pivot tables and pivot charts to effectively analyze and visualize large amounts of data. They will learn how to create, customize and interpret pivot tables to gain valuable insights into the data.
Filtering and sorting data: This module teaches advanced techniques for filtering and sorting data. Participants will learn how to apply complex filtering criteria and sort data in multiple levels to extract relevant information quickly and accurately.
Create and use scenarios: Participants will learn how to create and use different scenarios to perform hypothetical analysis. This includes creating what-if analyses to explore the impact of different assumptions and decisions on their data and make informed decisions. These two subjects provide participants with valuable skills to increase and execute their productivity, helping them to make informed decisions in their everyday professional lives.
- ANALYZE TABLES AND LISTS:
- Using pivot tables and pivot charts to analyze and visualize large amounts of data
- Creating, customizing and interpreting pivot tables
- FILTERING AND SORTING DATA:
- Applying advanced filtering and sorting techniques
- Complex filter criteria and multi-level sorting for precise extraction of relevant information
- CREATE AND USE SCENARIOS:
- Creating and using scenarios for hypothetical analyses (what-if analyses)
- Investigating the impact of different assumptions and decisions on the data
- MONITORING AND VALIDATING DATA:
- Setting up monitoring rules and using validation and error checking functions
- Ensuring data integrity and accuracy
Show chapter
Introduction to the Excel working environment
In this subject you will get to know the basic working environment of Excel. The focus is on providing you with a solid foundation on which you can build to use Excel efficiently and effectively.
Overview of the user interface: You will receive a detailed overview of the Excel user interface. This includes an explanation of the various elements, such as the ribbon, the quick access toolbar and the workbook. You will learn how to move around in Excel, open and close worksheets and switch between different views.
Menus and tools: We will guide you through the various menus and tools that Excel offers. You will learn how the tabs in the ribbon are structured and which functions are hidden behind the respective tabs. From file operations and data analysis tools to charting and formatting options - you will learn where to find which tools and how to use them.
Customize the status bar: The status bar at the bottom of the Excel window gives you important information at a glance. You will learn how to customize the status bar to display exactly the information you need, e.g. sum, average or number of selected cells. This helps you to work more efficiently and access relevant data quickly.
Important basic functions: We will show you the most important basic functions to help you get started with Excel. This includes basic operations such as creating, saving and opening workbooks. You will learn how to enter data in cells and perform simple calculations. We also explain how to carry out basic formatting to make your data clear and appealing.
This comprehensive introduction to the Excel working environment will lay the foundations for your future work with this powerful tool. You will be able to navigate confidently in Excel, use the most important functions and manage and edit your first data efficiently.
- OVERVIEW OF THE USER INTERFACE
- Menus and tools
- Customize status bar
- Workbooks
- IMPORTANT BASIC FUNCTIONS
- Creating, saving and opening workbooks
- Basic formatting and calculations
Show chapter
Advanced functions and techniques
In this subject, students will learn how to use advanced functions and techniques in Excel to perform complex data analysis and calculations. Here are the key learning points:
Advanced Formatting: Students will learn how to create and apply custom number formats to present data specifically and clearly. This includes the use of custom formatting rules to display currencies, percentages or custom text formats, for example.
Advanced conditional formatting: This module covers the application of complex conditional formatting to automatically highlight data based on specific criteria. Participants will learn how to combine and apply multiple rules to visually support their data analysis.
Application of functions from different categories: Students will learn how to use advanced functions from the logic, statistics, financial math, and math categories.
- ADVANCED FORMATTING
- Creation and application of user-defined number formats for the specific and clear presentation of data
- Use of user-defined formatting rules (e.g. currencies, percentages)
- ADVANCED CONDITIONAL FORMATTING
- Application of complex conditional formatting to visually support data analysis
- Combination and application of multiple conditional formatting rules
- APPLICATION OF FUNCTIONS FROM DIFFERENT CATEGORIES
- Use of advanced functions from the categories of logic, statistics, financial mathematics and mathematics:
- Logic functions: If, And, Or, Not
- Statistical functions: Mean, Median, Mode, Stabw
- Financial mathematical functions: Interest, Rmz, Ikv
- Mathematical functions: Sum, sum-if, sum-product
Show chapter
Consolidation and structuring
In this subject, participants learn how to consolidate data from several worksheets and workbooks and present it in a structured way. The main learning contents are
Consolidation of data:
Participants will learn how to merge data from different sources and worksheets to create a unified database. This includes using consolidation functions and tools in Excel to calculate totals, averages and other aggregated data.
Working with relationships:
Students will learn how to create and manage links between worksheets and workbooks. They will learn how to dynamically link data so that changes in a source are automatically updated in the linked workbook.
Organizing data:
Participants will learn techniques for organizing and structuring data. This includes creating outlines to divide large amounts of data into manageable sections and using grouping functions to organize and present data hierarchically.
Merging and comparing workbooks:
This module covers methods for merging multiple workbooks. Participants will learn how to compare and consolidate data from different workbooks to create consistent and complete data sets.
Consolidation of data:
Participants will learn how to merge data from different sources and worksheets to create a unified database. This includes using consolidation functions and tools in Excel to calculate totals, averages and other aggregated data.
Working with relationships:
Students will learn how to create and manage links between worksheets and workbooks. They will learn how to dynamically link data so that changes in a source are automatically updated in the linked workbook.
Organizing data:
Participants will learn techniques for organizing and structuring data. This includes creating outlines to divide large amounts of data into manageable sections and using grouping functions to organize and present data hierarchically.
Merging and comparing workbooks:
This module covers methods for merging multiple workbooks. Participants will learn how to compare and consolidate data from different workbooks to create consistent and complete data sets.
- CONSOLIDATION OF DATA
- Merging data from different sources and spreadsheets to create a unified database
- Use consolidation functions and tools to calculate totals, averages and other aggregated data
- WORKING WITH LINKS
- Create and manage links between worksheets and workbooks
- Dynamically link data so that changes in a source are automatically updated in the linked workbook
- STRUCTURING DATA
- Create outlines to structure large amounts of data into manageable sections
- Use grouping functions to display and organize data hierarchically
- MERGING AND COMPARING WORKBOOKS
- Methods for merging and consolidating multiple workbooks
- Compare and consolidate data from different workbooks to create consistent data sets
Show chapter
Professional use of diagrams
In this subject, participants learn how to use advanced charting techniques to visualize their data in a professional and appealing way. The main learning contents are:
Advanced charting techniques: Students will learn advanced techniques for designing and customizing charts. This includes adding trend lines, formatting data series and axes, and applying custom chart elements.
Using Chart Templates: Participants will learn how to create and use chart templates to quickly create consistent and professional charts. They will learn how to save custom templates and apply them to different data sets.
Dynamic Charts: This module covers the creation of dynamic charts that automatically adapt to changes in the underlying data. Participants will learn how to define data ranges and create charts that update based on dynamic data.
Data Visualization with Sparklines: Participants will learn how to use sparklines to display data trends and patterns in compact charts embedded in individual cells. This technique enables quick and efficient visualization of data directly in the worksheets.
- CREATING DIAGRAMS
- Basics of creating charts in Excel
- Creation of different chart types (e.g. column, line, pie and bar charts)
- ADVANCED CHARTING TECHNIQUES
- Designing and customizing charts by adding trend lines and formatting data series and axes
- Application of user-defined chart elements for better data visualization
- USE OF CHART TEMPLATES
- Create and use chart templates to create professional charts quickly and consistently
- Save and apply custom templates to different data sets
- DYNAMIC CHARTS
- Create dynamic charts that automatically adapt to changes in the underlying data
- Define data ranges to create and update dynamic charts
- DATA VISUALIZATION WITH SPARKLINES
- Use sparklines to visualize data trends and patterns in compact charts embedded in individual cells
- Quick and efficient visualization of data directly in the worksheets
Show chapter
Recognition of our IT training courses
Training certification
There are no uniformly standardized training paths in the field of IT training. However, this does not mean that the quality and recognition of our training programs are compromised. Our training institute is ISO 9001 certified and recognized. This certification confirms our commitment to the highest quality standards and continuous improvement.
Through our ISO 9001 certification, we ensure that our IT training programs - including our PHP programmer, web developer, programmer courses, and more - are developed and delivered according to international quality standards. You benefit from structured, practical curricula, experienced instructors and a high level of support during your training.
Institute certification
As a recognized institution in adult education, we subject our curricula to regular evaluations that are recognized by state authorities and funding bodies. Our ongoing goal is to exceed current quality standards and thus guarantee you first-class training. Convince yourself of our certifications.
Our certification gives you the certainty that you are receiving high-quality, recognized training that will optimally prepare you for your professional future.
Funding & educational leave - how it works
Can I get funding for my training?
At the Flexyfit EDV Academy, you have a wide range of options for funding your training. There are various funding programs at federal state and EU level as well as tax incentives that serve as a basis.
Please note, however, that the decision on the allocation and amount of funding is the sole responsibility of the respective funding body.
We will be happy to help you find a suitable funding body and provide you with all the course information you need to apply for funding. You must submit the application itself to the relevant funding body.
How does the funding work?
Depending on the funding institution, your training will be financed either through direct assumption of costs after confirmation of the funding application (e.g. AMS) or through full or partial reimbursement after successful completion of the training (e.g. Waff). We recommend that you contact the relevant funding institutions in person to find out about individual funding options.Can I take educational leave for the course?
Yes, the majority of our courses are suitable for educational leave.
If you would like to continue your education without terminating your employment, you can arrange educational leave with your employer. You will be released from work for the duration of the training.
Plan your educational leave with us now! We will be happy to clarify your individual training requirements with you in a personal, non-binding consultation .
How does educational leave work?
You can take your educational leave for a maximum of- Educational leave over a period of 12 months in one go
- split up, whereby each part must last at least
2 months . The parts must be taken within4 years . - Educational leave with part-time educational leave extending over
2 years
Please note that this is a general summary and it is advisable to check with the relevant bodies or authorities for further details and conditions.
Your employer's consent is essential for educational leave. You must submit the training plans issued by us, which require 20 hours per week for full-time educational leave or at least 10 hours per week for part-time educational leave.
It is also necessary to provide regular proof of the progress of your training, for example through examinations or attendance certificates issued by us.
Paths after training - career opportunities and prospects
What career opportunities open up after the "WordPress Professional: Advanced course with a practical focus" course?
After completing the "WordPress Professional" course, you will have the opportunity to take the WordPress skills you have already acquired to a professional level. This course enables you to gain deeper insights into advanced functions and techniques and gain practical experience that is essential for professional web development. The following opportunities are available to you:
Expand and deepen your skills: By attending this advanced course, your existing knowledge and skills in WordPress will be significantly enhanced. You will learn how to create complex websites, integrate sophisticated plugins and develop individual themes. This will enable you to successfully implement even complex projects and turn your creative ideas into reality.
Self-employment: With the in-depth knowledge and practical experience from the advanced course, you will be able to offer your services as a professional web designer and developer. You will have the opportunity to realize larger and more demanding projects for different clients, which will open up new career prospects and sources of income for you.
Career opportunities in advertising companies: The skills you learn on the course will make you a valuable employee in advertising agencies or corporate marketing departments. Your knowledge of web design and WordPress website management will enable you to contribute creatively and effectively to the design and maintenance of corporate websites. You can apply for positions dealing with web design, content management or digital marketing.
The "WordPress Professional" course, including the Introduction to WordPress course, therefore not only offers you the opportunity to further develop your personal and professional skills, but also the chance to establish yourself as a highly qualified professional in the web design and web development industry.
Available course variations
JavaScript - Basics
Highlights
Language of Instruction
Course Module
IT competence (presence)
IT competence (online)
EDP competence Full HD learning videos
Learning Type / Learning Method
Course Modality
Study Method
Auditory & Visual Learning Style
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Study Support (# all-inclusive)
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EDK Intermediate Examination Online
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Certificate accepted worldwide & never expires
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EN
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Presence
communicative
suitable
recommended
Flexible
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up to 100%
non-binding
Basic information on the learning variants:
- The training content is the same for each learning variant
- The examination period, duration of training and examination procedure are independent of the learning variant
- Sie können von der Lernvariante "Fernstudium" auf Präsenz unterricht aufbuchen. Auch einzelne Modulblöcke sind aufbuchbar
- With the "face-to-face course" learning option, you can book and complete individual blocks in private lessons
- The final certificate does not differ, regardless of which learning variant you have completed the course in
- Your Academy account and the learning content will stay with you for the rest of your life
vor 2 Tagen
Auf Vollzeit-Berufstätige wird besonders Rücksicht genommen. Die Aufbereitung der Lernunterlagen (in der Kombination Buchform, Folien und Videos) ist großartig.
Ein wirklich tolles Team, sympathische und professionelle Vortragende, insgesamt ein top Ausbildungsinstitut, das ich jedem nur sehr weiterempfehlen kann. ⭐️⭐️⭐️⭐️⭐️
vor 6 Tagen
Einfach ein Top Team !
vor 15 Tagen
Interessanter und sehr umfangreicher Kursplan, kompetente Betreuung, sehr nettes Team, ganz einfach TOP und jederzeit gerne wieder.
18.11.2023
Schnelle Antwort auf alle Fragen.
11.11.2023
Schnelle Beratung, Top Service
07.11.2023
Sehr gute Unterstützung durch dem Personal, sowohl telefonisch als auch per Mail. Besonderen Dank an Sarah
17.10.2023
Ganz tolles Angebot und Service... jederzeit gerne wieder.
12.10.2023
Nett,
07.10.2023
Schnelle unkomplizierte Anmeldung. Ratenzahlung perfekt und man kann sich das lerntempo selbst anpassen
01.10.2023
Sportkompetenz + Fitnesstrainer B-Lizenz sind ein sehr umfangreicher Kurs, in dem jede Menge Wissen vermittelt wird, welches dem aktuellen wissenschaftlichen Stand entspricht. Man bekommt einen Gegenwert für sein Geld. Der Schwerpunkt liegt auf dem Maschinentraining. Neben bekannten Übungen, werden auch interessante Spezialübungen gezeigt. Was ich etwas vermisst habe sind klassische Hantelübungen (z.B. Kurzhantelüberzüge, Kreuzhebevarianten, Kniebeugen, Bankdrücken, Stirndrücken, SZ-Bizepscurls,... usw.), welche meiner Meinung nach insbesondere für Anfänger etwas besser geeignet sind als einige der gezeigten Kabelzugübungen. Was leider ebenfalls zu kurz kommt, sind Übungen für die Bauchmuskulatur. Hier bitte nachbessern.
Auf Nachrichten wird sehr schnell reagiert. Für das Fachgespräch habe ich innerhalb von 24 Stunden einen Termin bekommen. Ich werde auf jeden Fall weitere Kurse machen. Alles in allem kann ich den Kurs sehr empfehlen.
22.06.2023
Alles 👍
10.05.2023
Alles ist gut vorbereitet, die Kurse, die Mitarbeiter, perfekt.
10.05.2023
Die begleitung in eure Welt war sehr klar und deutig. Die mitarbeitarin hat mich von anfang an begleitet mit telefonate wo sie an alle meine fragen ein antwort gefunden hat. Und auch bei umstellund des Gutschein kauf haben mich die mitarbeiter sofort geholfen
25.04.2023
Aufbau, Unterlagen und Videos sind top, wenn man etwas benötigt reagieren sie schnell.
15.04.2023
Super Team, kompetent, geduldig und immer freundlich
07.04.2023
Kompetente Auskunft, gute Organisation super Kursangebot
01.04.2023
Tolle Academy
10.03.2023
Klasse Ausbildung, qualifiziertes Personal, guter Service
07.03.2023
Die Module sind sehr lehrreich gestaltet. Zudem sind die Videos sehr gut dargestellt und verständlich.
05.03.2023
Vielseitiges Kurs- und Ausbildungsangebot in dem auch verschiedene Richtungen kombiniert werden. Ganz toll!
Rating
Zoe Alina
2 weeks ago
Very well organized team, uncomplicated operation of online lessons, versatile informative script :) All in all top!
[+]
posted on
Susi Sorglos
2 weeks ago
I am very impressed with Flexyfit, always nice and helpful people. Very sympathetic. Thank you very much for your great support.
[+]
posted on
Anna Kober
3 weeks ago
Great training and super nice people. You can tell how much emphasis is placed on conveying the necessary knowledge to the course participants in an understandable way. I was even kindly allowed to take a course completely free of charge after there were somewhat problematic and disruptive participants in my group. I will 100% take more courses with you in the future because learning is extremely fun, especially thanks to the friendly staff!
[+]
posted on
Brigitte Moser
3 weeks ago
The entire flexyfit team is extremely friendly, prompt and helpful. The lecturers are competent and respond to the course participants. All learning materials were provided clearly and in sufficient detail. The additional videos mean there is something for every type of learner. All in all, the training and exam went well. I can definitely recommend flexyfit and will be happy to book and recommend further training courses with you again!
[+]
posted on
safa alj
a months ago
A great team - competent, friendly, always helpful and supportive - provided excellent support for the practical training. We recommend! :)
[+]
posted on
Dr. Michael Kohlberger, BSc MSc
a months ago
Great support and extensive course content. We recommend!
[+]
posted on
Florian Reining
a months ago
I really enjoyed training to become a B-license fitness trainer there. The teaching materials provided are great and flawless. I learned a lot of new things there and always enjoyed what I was doing. The team is great and is always there for you if you have any questions!
[+]
posted on
Hrvoje Stilin (Stilintrhasher)
a month ago
The best thing that could have happened to me is this academy. Access to participants is excellent. All employees are very competent, very professional and very friendly. A person can learn so much that it is indescribably good. I would recommend it to everyone. When I arrived in Austria I was looking for something like this and luckily I found this academy and signed up for th