EN Data Scientist Further training.
BI Analytics
SQL basics
Power BI basics
Data Storytelling
- Use basic and advanced SQL queries to generate data overviews
- Use advanced SQL knowledge such as views, CTEs, subqueries and window functions
- Using the basics of business intelligence and basic functions of Power BI
- Use best practices for data visualization and processing in Power BI
- Apply best practices for data storytelling
- Working with the basics of KPI calculation with DAX language
8 weeks full-time / 16 weeks part-time
Data Analytics
Python Basics
Data analytics with Python
Statistical bases
- Develop and filter data sources
- Consolidate and prepare data professionally
- Perform advanced data analyses independently
- Writing simple scripts in the Python programming language
- Using linear and logistic regression for predictions
- Apply best practices for effective data visualization
9 weeks full-time / 18 weeks part-time
Data Science
Machine learning basics
Supervised Learning
Unsupervised Learning
- Import, clean and filter data independently
- Analyze data exploratively using descriptive statistics
- Develop and verify complex forecasting models
- Deepen Python programming skills
- Build data models to predict business scenarios
- Using machine learning for predictions
- Apply best practices for effective data visualization
- Apply methods of data storytelling
9 weeks full-time / 18 weeks part-time
Object-Oriented Programming
Advanced Python
OOP Design
Unit Testing
- Working with selected Python libraries
- Apply object-oriented programming with a focus on classes and attributes
- Use inheritance for the reusability of code
- Use advanced functions to simplify classes
- Apply best practices for handling work processes
4 weeks full-time / 8 weeks part-time
Portfolio project
Set up data projects
Presenting data
Agile project management
- Independently select and professionally implement data analytics and data science projects
- Working collaboratively in a team and delivering projects with Git
- Present results and discuss them using technical language
3 weeks full-time / 6 weeks part-time
You are a certified Data Scientist.
Upon successful completion of the training program, you will receive our industry-recognized StackFuel certificate and become a certified Data Scientist.
Learn this tech stack
Average salaries in the data science sector.
Currently in Germany
about 10,000 data jobs advertised.
Data roles are in demand in practically all sectors.
With our training programs, you can enter a completely new industry or return to a familiar industry with a new and sought-after skillset.
Learn data skills that will immediately qualify you for a career start and apply for a selection of over 10,000 advertised data jobs in Germany (source: Indeed, Q2 2024).
Learn data skills that will immediately qualify you for a career start and apply for a selection of over 10,000 advertised data jobs in Germany (source: Indeed, Q2 2024).
Our training programs qualify you for various positions in the data area.
As a rule, you will start your career in a junior position, but depending on your previous experience, you can also take on a higher position - our Career Service team will help you optimize your prospects!
What our graduates say.
Over 6,000 graduates have already completed data analytics and data science training courses at StackFuel. Here, some of them talk about their experience:
Let us help you now personally advise.
Our team of experts will work with you to find a suitable training program and answer any questions you may have.
We look forward to seeing you!
FAQ
What is the aim of Data Scientist training?
StackFuel's Data Scientist training program prepares you comprehensively for a lateral entry into data professions such as Data Scientist or Data Analyst. You will learn the basics and advanced methods of data work and apply your new knowledge directly in practical projects.
In addition, our Career Service will support you with your application strategy so that you can combine your previous experience, individual strengths and new data skills in a targeted manner for a successful application and job entry.
How can I start my training to become a Data Scientist and what are the requirements?
You do not need any relevant professional experience for the training. Experience with the use of computers and the basic use of IT systems is important. Initial experience of working with data and programming is helpful, but not essential.
To get started, we will conduct an initial consultation with you to understand your individual abilities, find the best training program for you and inform you about your funding options through an education voucher if you still need one. Self-paying students will receive all the important information about course start dates and payment options.
Which exams and certificates are included in the Data Scientist training program?
After each module, you will receive a certificate documenting your newly acquired skills. You complete the modules with practical projects, which you work on independently and present to our mentoring team.
This process ensures that you can confidently apply all relevant knowledge. But don't worry - our mentoring team of experts will provide you with continuous, personal support to ensure that you complete the training program successfully.
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