Seminar in English

Data Analyst in Python

Python basics, data analysis and visualizations


The goal of the Data Analyst Training from Haufe Akademie and StackFuel is the application-oriented instruction of the free programming language Python for the preparation, processing and visualization of company data. This means that the data analyst plays a central role in the context of digitization. He or she is the link between the specialist departments and the heads of the departments, who increasingly make data-driven decisions.


Modul 1: Foundations of Python

  • Learn the essentials of Python in the context of data analysis.
  • Deepen programming knowledge in data-based business scenarios.
  • Develop programs for automated data analysis.

Modul 2: Data Analyses with Python

  • Read and process data with the Python module pandas.
  • Include external data sources in the analysis.
  • Apply the foundations of statistics to business data.
  • Data visualizations with pandas, matplotlib and other Python modules.
  • Implementation of a data pipeline for various industry data sets.
  • Writing increasingly complex analysis programs.
  • Perform independent data analyses with an industrial data set.

Personal learning environment

In your online learning environment, you will find the learning units, work support, additional products and access to the Data Lab from the start date on. Every week you will be provided with new materials, which you can work on independently. Throughout the entire training period you will be accompanied online and have the opportunity to exchange information with other course participants and training instructors on the respective learning units.


  • Assess and use company data as a productive factor.
  • Implement complex data analyses in the specialist domain.
  • Increase competitiveness with data-driven decisions.


After logging into the learning environment, the online training offers you a mixture of videos, reading material and business scenarios that will sharpen your knowledge. The interactive exercises allow you to work on your own in your learning environment and gain a practical impression of what it means to work with data. During the course, course participants are accompanied throughout the entire period. The online training consists of interactive programming exercises, videos, and interactive knowledge quizzes. Participants work on the content independently and can choose the time and place.


Employees who want to specialize in the field of data analytics or who want to expand their existing knowledge of data analysis. Data analyst training is important for departments that are increasingly working data-driven and are making data-based decisions.

Open Badges - Zeigen Sie, was Sie können.

Nach erfolgreichem Abschluss der Veranstaltung erhalten Sie von uns ein digitales Zertifikat in Form eines Open Badge. Diesen können Sie in Ihrer Lernumgebung downloaden und anschließend über soziale Medien einbinden und teilen. Mit Open Badges zeigen Sie online, über welche Kompetenzen Sie verfügen.

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  • Customised for your needs
  • On-site for multiple employees
  • Save time and travelling expenses

Price on request.


Questions about a booking?

+49 761 595339-11

Booking number
Training in English, Online
15 weeks (6 h/week)
This training is a on-the-job online training with a workload of approx. 6 hours per week for 15 weeks. The training takes place in the browser, without additional software. The access data will be sent approx. one week before the start of the training.

Auch als deutschsprachiges Online-Training buchbar: Data Analyst

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Start dates
Seminar in English
Seminar in English
Seminar in English
Seminar in English
Seminar in English
Seminar in English
Seminar in English
Training is guaranteed to take place
The next booking ensures this course will take place
Participation fee
€ 2.990,- excl. VAT
€ 3.558,10 incl. VAT
Consultation and contact

The Haufe Akademie
  • High practical relevance
  • Top trainers
  • 280.000 participants per year
  • Generator of success since 1978
Do you have any questions?
Call us or send an email
Stephanie Göpfert
Head of Customer Service, and her team are there for you Mo - Fr 8 a.m. - 5:30 p.m.

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