Advantages
We are your partner for digital career development.
100% online
100% eligible for funding
100% GDPR compliant
Everything at a glance.
Download our free brochure on our subsidized continuing education and retraining programs now.
Our subsidized training courses
The content of our courses is mostly hands-on. Around 80% of the training sessions are interactive.
Data Analyst – Focus on Python
The Data Analyst – Focus on Python certificate course enables you to independently clean, prepare and visualize data and make simple predictions. In addition to learning how to code in Python, the statistical concepts covered ensure that you will be able to work in analytical roles after successfully completing the course, e.g. as a (junior) data analyst, (junior) business intelligence analyst or (junior) financial analyst.
Course format
Part-time (12 hours per week)
Course duration
220 teaching units
85 working days
(17 weeks)
Qualification
Certificate of completion
- Create simple scripts in the programming language Python
- Independently read in data from various sources, prepare it and analyze it using descriptive statistics methods
- Use data storytelling methods to visualize analysis results in a way that is appropriate for the target audience
Professionals to be retrained from medium-sized and large companies with a quantitative focus, as well as job seekers with STEM backgrounds.
- Placement test
- Understand and apply basic mathematical and statistical skills
- Identify and interpret data visualizations
- Language skills
- Technical equipment
- PC or tablet with internet connection
- Supported browser (Edge, Firefox, Safari or Chrome)
- Phone, microphone or webcam with microphone
- Create simple scripts in the programming language Python
- Independently read in data from various sources, prepare it and analyze it using descriptive statistics methods
- Use data storytelling methods to visualize analysis results in a way that is appropriate for the target audience
Professionals to be retrained from medium-sized and large companies with a quantitative focus, as well as job seekers with STEM backgrounds.
- Placement test
- Understand and apply basic mathematical and statistical skills
- Identify and interpret data visualizations
- Language skills
- Technical equipment
- PC or tablet with internet connection
- Supported browser (Edge, Firefox, Safari or Chrome)
- Phone, microphone or webcam with microphone
Book your personal consultation now!
Data Scientist – Focus on Python
The Data Scientist – Focus on Python certificate course enables you to derive predictive models from data, to verify and interpret them in order to communicate the results of your models efficiently. Developing machine learning skills ensures that you will be able to work in analytical roles after successfully completing the course, e.g. as a (junior) data scientist or (junior) machine learning engineer.
Course format
Part-time (12 hours per week)
Course duration
304 teaching units
110 working days
(22 weeks)
Qualification
Certificate of completion
- Import, prepare, and analyze data from a variety of sources using descriptive statistics methods
- Apply and evaluate supervised and unsupervised learning methods using Python frameworks
- Work through typical data science scenarios using machine learning methods
Professionals to be retrained from medium-sized and large companies with a quantitative focus, as well as job seekers with STEM backgrounds.
- Placement test
- Basic knowledge of mathematics and statics
- Basic knowledge of Python
- Basic use of the Python packages Pandas and Matplotlib
- Language skills
- Technical equipment
- PC or tablet with internet connection
- Supported browser (Edge, Firefox, Safari or Chrome)
- Phone, microphone or webcam with microphone
- Import, prepare, and analyze data from a variety of sources using descriptive statistics methods
- Apply and evaluate supervised and unsupervised learning methods using Python frameworks
- Work through typical data science scenarios using machine learning methods
Professionals to be retrained from medium-sized and large companies with a quantitative focus, as well as job seekers with STEM backgrounds.
- Placement test
- Basic knowledge of mathematics and statics
- Basic knowledge of Python
- Basic use of the Python packages Pandas and Matplotlib
- Language skills
- Technical equipment
- PC or tablet with internet connection
- Supported browser (Edge, Firefox, Safari or Chrome)
- Phone, microphone or webcam with microphone
Book your personal consultation now!
Immersive Course – Data Scientist
The Immersive Course – Data Scientist certificate course enables you to independently clean, prepare, and visualize data as well as develop and verify complex predictive models. In addition to learning how to code in Python the machine learning concepts covered ensure that after you successfully complete the course, you will be able to work in analytical roles, e.g. as a (junior) data analyst, (junior) business intelligence analyst or (junior) financial analyst, and in advanced analytical roles, e.g. as a (junior) data scientist or (junior) machine learning engineer.
Course format
Part-time (12 hours per week)
Learning duration
500 teaching untis
145 working days
(29 weeks)
Qualification
Certificate of completion
- Create simple scripts in the programming language Python
- Independently read, prepare, and analyze data from various sources using descriptive statistics
- Apply and evaluate supervised and unsupervised learning methods using Python frameworks
- Work through typical data science scenarios using machine learning methods
- Use data storytelling methods to visualize analysis results in a way that is appropriate for the audience
Professionals to be retrained from medium-sized and large companies with a quantitative focus, as well as job-seekers with STEM backgrounds.
- Placement test
- Understand and apply basic mathematical and statistical skills
- Identify and interpret data visualizations
- Language skills
- Technical equipment
- PC or tablet with internet connection
- Supported browser (Edge, Firefox, Safari or Chrome)
- Phone, microphone or webcam with microphone
- Create simple scripts in the programming language Python
- Independently read, prepare, and analyze data from various sources using descriptive statistics
- Apply and evaluate supervised and unsupervised learning methods using Python frameworks
- Work through typical data science scenarios using machine learning methods
- Use data storytelling methods to visualize analysis results in a way that is appropriate for the audience
Professionals to be retrained from medium-sized and large companies with a quantitative focus, as well as job-seekers with STEM backgrounds.
- Placement test
- Understand and apply basic mathematical and statistical skills
- Identify and interpret data visualizations
- Language skills
- Technical equipment
- PC or tablet with internet connection
- Supported browser (Edge, Firefox, Safari or Chrome)
- Phone, microphone or webcam with microphone
Overview of your funding opportunities
You're unemployed.
You're employed.
If you’re unemployed or looking for work, the first step for you is to make a personal consultation appointment with your case worker at the employment agency or job center. If you’re employed, you should first speak with a contact person in your human resources department. Alternatively, you can also contact us directly for advice.
Read more about your funding options for continued professional development in our blog post. We have compiled the most important programs for you. Depending on the program, you will need to meet specific criteria.
Depending on the grant program, the following costs may be reimbursed for your professional development:
- Course costs
- Continued payment of wages
- Costs for placement tests
- Travel costs
- Childcare costs
- Accommodation and meal costs
Training Opportunities Act
With the Training Opportunities Act from the Federal Employment Agency, you can equip yourself for upcoming structural changes and make yourself fit for the world of work 4.0. With a subsidized further education course or reskilling course, you increase your chances of succeeding in the job market and developing sustainably into your job role of the future with your employer.
These companies rely on us.
Education voucher
With the education voucher, you can have an eligible course completely reimbursed by the employment agency or job center. The education voucher applies to you if you are unemployed or facing unemployment. It’s important that you redeem the education voucher with an approved provider, such as StackFuel, within three months.
Gain extra power for your funding.
Take advantage of extra benefits with our funded training courses to get ready for the digital working world of the future.
-
100% of all courses online in your browser
-
Blended learning approach
-
Data Lab - Interactive programming environment with data sets and business cases as well as solutions in text form
-
Project work and final assignments
-
Full-service support with weekly webinars, 1-on-1 feedback sessions, and support via forum, phone, or email
-
100% works council compliant
-
100% data protection compliant according to GDPR
-
100% IT secure
-
100% of all courses online in your browser
-
Blended learning approach
-
Data Lab - Interactive programming environment with data sets and business cases as well as solutions in text form
-
Project work and final assignments
-
Full-service support with weekly webinars, 1-on-1 feedback sessions, and support via forum, phone, or email
-
100% works council compliant
-
100% data protection compliant according to GDPR
-
100% IT secure
-
100% subsidized by the Federal Employment Agency or the Job Center
-
Guided solutions with solution videos & step-by-step explanations
-
3 coding challenges per chapter
-
2 additional project tasks with 1-on-1 feedback
-
Application preparation
-
Best practices for code organization with GitHub
-
Guidelines for building an analytics portfolio
-
Hands-on tips for building your own online presence including XING and LinkedIn optimization as well as writing blog articles
-
Additional links to additional learning materials
-
100% of all courses online in your browser
-
Blended learning approach
-
Data Lab - Interactive programming environment with data sets and business cases as well as solutions in text form
-
Project work and final assignments
-
Full-service support with weekly webinars, 1-on-1 feedback sessions, and support via forum, phone, or email
-
100% works council compliant
-
100% data protection compliant according to GDPR
-
100% IT secure
-
100% of all courses online in your browser
-
Blended learning approach
-
Data Lab - Interactive programming environment with data sets and business cases as well as solutions in text form
-
Project work and final assignments
-
Full-service support with weekly webinars, 1-on-1 feedback sessions, and support via forum, phone, or email
-
100% works council compliant
-
100% data protection compliant according to GDPR
-
100% IT secure
-
100% subsidized by the Federal Employment Agency or the Job Center
-
Guided solutions with solution videos & step-by-step explanations
-
3 coding challenges per chapter
-
2 additional project tasks with 1-on-1 feedback
-
Application preparation
-
Best practices for code organization with GitHub
-
Guidelines for building an analytics portfolio
-
Hands-on tips for building your own online presence including XING and LinkedIn optimization as well as writing blog articles
-
Additional links to additional learning materials
