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Data Analyst in Python

Analyzing and visualizing data with Python

As the world has become increasingly digital, the demand for data analysis specialists has risen sharply in recent years. This change has made working competently and professionally with data an essential skill. In StackFuel’s Data Analyst course, you will learn the basics of the Python programming language and consolidate them by applying them to real business scenarios. In the Data Lab, StackFuel’s interactive learning environment, you will use real data sets. This makes it easier to integrate the skills you will gain into your day-to-day work life. After the course, you will be able to carry out data analyses with Python on your own and will be able to make data-driven decisions.

Target group

The Data Analyst course is suitable for anyone who wants to get to know Python as a programming language and who wants to analyze data themselves. The only requirement to participate is motivation to analyze data by yourself and an interest in learning a programming language in a short amount of time.

Learning object

At the end of the course, the learning objective is to have the skills to perform complex data analyses and to merge different sources of data (databases & APIs, web crawling). You will also gain an understanding of the work steps that make up a complex analysis as well as best practices when carrying out a data analysis.

Conditions for participation

No previous programming knowledge is required for the Data Awareness course. You will develop these skills in the first module. However, you should be a frequent computer user, and be familiar with common software.

Training type

FastTrack Online course
Standard Part-time online course to fit around your work

Learn duration: 72 Hours

FastTrack Training duration: 4 Weeks
FastTrack Training duration: 4 Weeks
Standard Training duration: 16 Weeks



Next start dates



FastTrack 15.03.2021
FastTrack 26.04.2021
FastTrack 07.06.2021


Standard 15.03.2021
Standard 26.04.2021
Standard 07.06.2021


2.990,00 € plus VAT 3.558,10 € incl. VAT Buy

Contact and consultation


Tel: +49 (0) 30 6800 9503

Training formats

Data Analyst in Python Data Analyst in Python

Hands-on learning environment

Participants learn using current technologies and the latest Python libraries.

Advanced technology stack

Our trainings make use of real data sets as well as industry business cases to create hands-on Learning scenarios.


Participants have access to all the computing power they need to complete the course.

Innovative Data Lab

The course takes place in your browser, you don’t need to install any special software.


Module 1

Python Beginner's Guide

Understand the role of data analysts

Learn basic Python skills in the context of data analyses

Use computer programs to automate data analysis

Complete several practical projects

Module 2

Data Analytics with Python

Refresh the basics of Python

Import, process and export data with pandas

Data visualization in Python with pandas, matplotlib and other libraries

Apply the foundations of statistics to company data

Learn to work with various data structures

Tap into external data sources

Make data accessible with the help of reports and interactive dashboards

Starting dates

15.03. - 04.07.2021Length: 16 Weeks
26.04. - 15.08.2021Length: 16 Weeks
07.06. - 26.09.2021Length: 16 Weeks


Request the course curriculum for more detail about the course material!

Data Analyst in Python
Data Analyst in Python

Flexible course formats

StackFuel has developed various training formats to meet the diverse requirements of a modern working environment. Our regular part-time courses are designed specifically with company employees in mind, and combine professional development and in-depth skill development with day-to-day work. Our FastTrack courses are tailored specifically toward our participants and customers who would like to take part in our courses more quickly on a part-time or full-time basis. The time spent on our courses each week as part of our FastTrack formats is therefore more concentrated, and you will ready for the job role of Data Analyst or Data Scientist more quickly.


StackFuel's specialist courses follow a practical approach that trains employees for the job roles of the future and gives them the necessary skills to create real added value from data. This is also reflected in the final project that the participants carry out and which our mentoring team, made up of educational data scientists, analyzes and evaluates. Participants receive a certificate based on an independent final project at the end of the course, which they can use in various social networks as well as privately, as proof of their newly acquired knowledge and skills. Our specialist Data Analyst (73598) Data Scientist (73597) courses are ZFU* tested and certified.

*The ZFU checks whether a course meets the requirements of the German Distance Learning Protection Act (Fernunterrichtschutzgesetz) and whether courses are suitable for distance learning in terms of their subject matter and didactics.

Data Analyst in Python
  • testimonial

    Alexander Groß

    Data Analyst at AIC Portaltechnik

    The Data Lab really offers added value, you notice instantly how the practical exercises are relevant to your work. The tasks were always clearly described and presented. So I always knew what to do. The course itself was a great experience!

  • testimonial

    Lutz Schneider

    Strategic buyer at Axel Springer SE

    The greatest added value for me was the courses practical relevance. Thanks to StackFuel, I can quickly put what I have learned into practice and adapt it for myself. This is the real learning success behind the online course.

  • testimonial

    Jaroslaw Wojciech Sulak

    Specialist for data analysis at IAV GmbH

    The online StackFuel course content was very hands on. There were a great deal of good examples and projects. I found it very interesting and instructive. My professional life has changed significantly since completing the course: Im now a data analysis specialist in my department.

  • testimonial

    Jenny Lindenau

    Head of Test Management at Bank Deutsches Kraftfahrzeuggewerbe GmbH

    The user-friendly and flexible Python Programming course has entirely changed my view on complex data structures. Thanks to the sustainable and well-designed learning approach, and the seamless use of learning content in the coding environment, I can now apply my new skills in my daily work of testing automation and process data more easily and efficiently.

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For Individuals

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