Your new career chance

Subsidized training courses

Advantages

We are your partner for digital career development.

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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-onAround 80% of the training sessions are interactive. 

Certificate course

Data Analyst – Focus on Python

Career prospects

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

Learning objectives
  • 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
Target group

Professionals to be retrained from medium-sized and large companies with a quantitative focus, as well as job seekers with STEM backgrounds.

Prerequisites
  • Understand and apply basic mathematical and statistical skills
  • Identify and interpret data visualizations
  • German B2
  • English A2
  • PC or tablet with internet connection
  • Supported browser (Edge, Firefox, Safari or Chrome)
  • Phone, microphone or webcam with microphone

Book your personal consultation now!

Certificate course

Data Scientist – Focus on Python

Career prospects

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

Learning objectives
  • 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
Target group

Professionals to be retrained from medium-sized and large companies with a quantitative focus, as well as job seekers with STEM backgrounds.

Prerequisites
  • Basic knowledge of mathematics and statics
  • Basic knowledge of Python
  • Basic use of the Python packages Pandas and Matplotlib
  • German B2
  • English A2
  • PC or tablet with internet connection
  • Supported browser (Edge, Firefox, Safari or Chrome)
  • Phone, microphone or webcam with microphone

Book your personal consultation now!

Certificate course

Immersive Course – Data Scientist

Career prospects

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

Learning objectives
  • 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
Target group

Professionals to be retrained from medium-sized and large companies with a quantitative focus, as well as job-seekers with STEM backgrounds.

Prerequisites
  • Understand and apply basic mathematical and statistical skills
  • Identify and interpret data visualizations
  • German B2
  • English A2
  • PC or tablet with internet connection
  • Supported browser (Edge, Firefox, Safari or Chrome)
  • Phone, microphone or webcam with microphone
When are you eligible for funding?

Overview of your funding opportunities

The federal and state governments can subsidize your professional development at certified educational institutions, such as StackFuel, by reimbursing you. In general, most of the support programs apply to the unemployed, employees at small and medium-sized companies, graduates or older employees. 

You're unemployed.

You’re particularly eligible for subsidized training if you’re currently unemployed or looking for work. This is often aimed at improving your chances in the job market and reintegrating you into working life. Expanding your professional skills is also useful to you if you are facing unemployment.

You're employed.

If you’re employed, there are various forms of support available. A training course through the employment agency can be of particular interest to you if you are at risk of unemployment. This is the case, for example, if you are working in an occupational field, which you are not sufficiently qualified for. In principle, as an employee, you benefit specifically from the Qualification Opportunities Act - regardless of age, qualification or company size.

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. 

Read blog post » 

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.

Conventional StackFuel trainings
  • 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
Subsidized StackFuel courses
  • 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
15-minute introductory meeting

Let us advise you personally!