The online training course has been tested and approved by the State Central Agency for Distance Learning (ZFU) in Cologne under the number 73598.
Contents
1. the Python guide for beginners
- Working with the Data Lab
- Basics and concepts in Python
- Save numbers and texts as variables
- Bundle variables as groups in lists
- Read and understand error messages correctly
2. basics of programming
- Programming basics for data analysts
- Using functions and methods
- Flow controls with the help of conditions
3. loops and functions with Python
- Sequence control with the help of loops
- Extend the functional scope of the code
- Import more Python packages
- Programming concepts for data analytics
4. create data pipelines with pandas
- get to know and use pandas
- Import CSV files correctly
- Cleanse and aggregate data
5. exploring data with matplotlib
- Visualization of different data levels
- Representation of numerical data as histograms
- Display of numerical data as scatter plots
- Representation of categorical data as bar and pie charts
6. make statistically based predictions
- Overview of statistical principles
- Understanding and using medians and quartiles correctly
- Identify outliers
- Predictions with linear and logistic regression
7. include internal data from SQL databases
- Important queries with SQL
- Make your own selections
- Reading out data using the example of a personnel database
8. integrate external data via APIs
- Read data from online databases
- Scraping data from websites
- Read data via APIs
9. data visualization with Advanced Jupyter
- Advanced functions in Jupyter Notebooks
- Present data in Jupyter Notebooks
- Dashboards with live updates and interactive features
10th exercise project
- Complete data project from data cleansing to visualization
- Data analysis with a professional data set (with over one million cab rides in New York)
- Analysis task for independent implementation
11. final project
- Audit project on customer churn in a telecommunications company
- Independent analysis of the data project
- Presentation of results and 1:1 feedback meeting with mentoring team
- Obtaining the certificate for Data Analyst with Python
How do you learn in the course?
This online course offers you a particularly practice-oriented learning concept with comprehensive self-study units and a team of mentors who are available to you at all times. A new chapter is activated for you every week. With a time budget of around 6 hours per week, you are sure to reach your goal in 12 weeks. This is how you learn in the course:
Placement test: In an onboarding meeting at the beginning of the course, you and the mentoring team will determine what knowledge you already have and which parts of the course you should pay particular attention to. This will prepare you optimally for learning in the self-study units.
Data Lab: In the course's learning environment, you can expect videos, interactive graphics, text and, above all, many practical exercises with comprehensive datasets and coding tasks. You carry these out directly in the browser - without installation or configuration effort and with direct success control.
Mentor team: Your learning coaches are available to answer any questions you may have. They are experienced data analysts who will be happy to help you - via chat, audio or video call.
Webinars: Once a week, you have the opportunity to take part in webinars and immerse yourself in selected special topics of data analysis.
Career coaching: What professional goals are you pursuing with your further training and how can you achieve them? A team of mentors is available to help you achieve your career goals.
Final project: In your own data project, you will work independently through the entire data pipeline and answer typical questions. At the end, you will present your project in a 1-to-1 feedback session with your mentoring team.
Certificate: After the final project, you will receive your official certificate as a Data Analyst with Python.
This online training is provided by our partner StackFuel GmbH. StackFuel specializes in training courses on data literacy, data science and AI.
Your benefit
In this practice-oriented training course, you will learn how to carry out data analyses with large data sets independently.
You will learn how to use Python competently, how to use the programming language for data evaluation and how to create effective visualizations.
You will learn how to connect a wide variety of data sources, filter data in them and merge them.
After the training, you will be able to visualize company data in a meaningful way and make it interactively accessible in dynamic dashboards.
The technical entry hurdles are minimized by the use of Jupyter notebooks, with which you can carry out the programming exercises directly in the browser.
Recommended for
The online training course to become a Data Analyst with Python is suitable for anyone who wants to carry out data analyses independently using Python as a programming language. No special requirements need to be met. The course is also suitable for career changers.
Final examination
In your own data project, you will work independently through the entire data pipeline and answer typical questions. At the end, you will present your project in a 1-to-1 feedback session with your mentoring team.
Further recommendations for "Data Analyst with Python"
Attendees comments
The Data Lab offers real added value, where you can really feel the practical relevance. The tasks were clearly described and illustrated so that I always knew what I had to do - it was a great experience!

The greatest added value for me is the practical relevance and the fact that I can quickly implement what I have learned and adapt it for myself - that is the real learning success behind the training courses.

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Can also be booked as English-language training:
Data Analyst with Python