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Learn data analytics and master data analysis with Python, pandas and matplotlib, statistical analysis of data and its effective visualization to make results usable.
Data analytics is the systematic evaluation of data in order to make patterns and correlations visible. The Python programming language is used to analyze and evaluate data and automate data processes.
Ideal for anyone who wants to increase their chances on the job market with data analytics skills and Python. The training teaches these sought-after skills in a practical way so that they can be applied immediately in the workplace.
You move into the Data Lab for the first time and familiarize yourself with the basics of programming. You will learn to store numbers and texts as variables in Python and to bundle them as groups in lists. The proper reading of error messages rounds off the basic knowledge.
You continue to expand your programming basics. This chapter focuses on the use of functions and methods as well as flow controls using conditions.
The last chapter of the basic module is dedicated to sequence control using loops. You expand your range of functions by importing additional Python packages.
At the end of the chapter, you will be familiar with the most important programming concepts that are important for working as a data analyst.
This chapter teaches the efficient use of Pandas - the standard tool of a data analyst in Python. You will learn how to use it to read, clean and aggregate data in CSV files.
You practice visualizing different levels of data using marketing data. Numerical data is visualized as histograms and scatter plots, while categorical data is visualized as column and pie charts.
<pYou will learn statistical terms such as median and quartiles based on product reviews. You identify outliers and create simple predictions with linear and logistic regression.
<pYou will learn how to read databases using the example of a personnel database and how to formulate standard SQL queries.
You use Python to access information such as web pages and APIs designed by StackFuel on the Internet.
Get to know Jupyter functionalities and solve advanced visualization problems such as live updates and interactivity in the context of a stock market scenario
.You will analyze a New York City cab data set with over a million rides and use your Python skills to answer given questions.
You analyze the customer churn of a telecommunications company. You will go through the entire data analytics workflow independently and answer typical questions. You will present your project in a 1-on-1 feedback session with the StackFuel mentoring team
.
Our training programs are 100% free of charge for you with an education voucher from the Federal Employment Agency.
Thanks to the high practical component, you will learn all the skills you need for everyday work in your future data job.
Completely online and full or part-time, you can train in the way that works best for you.
Our data experts are always in contact and offer support and motivation.
After completing the training program, you will receive our recognized certificate to prove your skills.
Our Career Service supports you with advice and coaching when you start your data job.
| Training program | Duration | ||
|---|---|---|---|
| 02.02.2026 |
6 months
Full-time
|
Apply | |
| 02.02.2026 |
12 months
Part-time
|
Apply | |
| 02.02.2026 |
8 months
Full-time
|
Apply | |
| 02.02.2026 |
16 months
Part-time
|
Apply | |
| 09.02.2026 |
6 months
Full-time
|
Apply | |
| 09.02.2026 |
12 months
Part-time
|
Apply | |
| 09.02.2026 |
8 months
Full-time
|
Apply | |
| 09.02.2026 |
16 months
Part-time
|
Apply |
Over 8,000 graduates have already completed training in data and AI skills at StackFuel. Here, some of them talk about their experience:
We will help you choose the right training program for your data career and advise you on the path to funding.
Free of charge, without obligation and simply over the phone.
In the certified data analytics training course, you will learn the core elements of advanced data analysis. You will learn how to use Python competently, how to use the programming language for data analysis and how to create effective visualizations. You will familiarize yourself with the various functions of Python and practise preparing company data with appealing visualizations for specific target groups and independently carrying out classic data processing procedures.
Using many practical units with data sets, you will learn how to access, filter and merge new data sources. After the training, you will be able to use Python to make company data interactively accessible in dynamic dashboards. You will complete the data analytics training course with a practical final exam on customer churn at a telecommunications company. Upon successful completion of the training, you will acquire highly sought-after skills in data analysis with Python, which are in demand for the job role of Data Analyst or other analytical job roles such as Business Intelligence Analyst or Financial Analyst.
Our training courses are developed and produced by our own team of data scientists and subject matter experts, who provide you as a participant with personal mentoring during the course. We not only focus on realistic and practical content, but also ensure that all your questions are answered in a personal exchange and thus guarantee your learning success.
Thanks to our "learning-by-doing" principle, you will learn in our interactive learning environment with realistic data sets and real business cases from the industry, preparing you perfectly for a successful career start in a data job.
With StackFuel, you can rely on a market leader with Germany's most innovative learning platform to develop your data skills in a practical way. In certified training programs, you learn online, flexibly and with 80 % of practical content.
This will enable you to make a lateral entry as a data analyst or data scientist and learn how to use data and the basics of artificial intelligence professionally. Your new data career starts with your online training at StackFuel.
Data has become an integral part of our (professional) lives. In almost all areas, data helps you to better understand facts and make more precise decisions. Data skills are the key to being able to use and interpret data correctly. Even though you may not realize it, you work with, interact with and generate data every day.
This data is becoming increasingly important for companies and is the basis for decisions and business models, which makes data professionals incredibly valuable for companies.
