Preparation for Data Analysts and Scientists

Course overview

The Data Analyst training is aimed at participants who want to establish a solid foundation for further specializations in the field of Data Analytics and Data Science. You will learn key fundamentals in data management, data visualization, Python programming, as well as business and governance aspects. Fundamentals of Data Analysis Terms and methods of data analysis Using data for business decisions Analysis of sales figures to optimize a product line Introduction to terms and methods Typical application areas Data management concepts Relational and non-relational databases Data Fundamentals Dashboards, visualization, and reporting KPI dashboards for controlling Fundamentals of Python Pandas and Numpy for data preparation and analysis Python Basics for Analytics Example: Cleaning survey data Outlook: Implementation in cloud architectures. The target audience includes beginners, Data Analysts, aspiring Data Scientists, as well as professionals from controlling, IT, or marketing who want to systematically prepare for more demanding analysis tasks. Basic knowledge in IT or statistics is helpful but not strictly required. The application of the content will be done using ChatGPT, Claude, Google Gemini, HTML, CSS, JavaScript, Node.js, and Visual Studio Code.

Upcoming dates

• 2026-10-11T22:00:00.000Z · 2027-02-14T23:00:00.000Z · Eberswalde · Combined Learning
• 2026-10-11T22:00:00.000Z · 2027-06-20T22:00:00.000Z · Heilbronn, Neckar · Combined Learning
• 2026-10-11T22:00:00.000Z · 2027-02-14T23:00:00.000Z · Erfurt · Combined Learning
• 2026-10-11T22:00:00.000Z · 2027-06-20T22:00:00.000Z · Berlin · Combined Learning
• 2026-10-11T22:00:00.000Z · 2027-02-14T23:00:00.000Z · Berlin · Combined Learning