Introduction to Data Science

Course overview

The entry into data analysis begins with tables and databases. The training course 'Introduction to Data Science' combines Excel fundamentals and database work with SQL with the methods of data science and trustworthy AI. It covers how data is collected, queried, and methodically evaluated. Excel Excel is covered from cell references to chart design. Getting started, basic arithmetic, and table structure Cell references and simple functions Special functions and time calculations Creating and designing charts Databases Database modeling, SQL, and database operation are covered. Introduction to databases, data types, and the entity-relationship model Tables, keys, and initial SQL queries JOINs and normal forms Indexing, storage, and performance optimization Data Science Statistical methods and the requirements for trustworthy AI are connected. Fundamentals and statistics of data science Selected methods and the CRISP-DM process model Integration into business intelligence and reporting Legal frameworks in the EU, bias, and fairness The training connects the tools of data storage with the methodological framework of data analysis. This allows for the establishment of personal data projects and the reliable classification of their results. Tools used include ChatGPT, Google Gemini, MS Copilot, Python, Visual Studio Code, Jupyter Notebooks, pandas, and NumPy.

Upcoming dates

• 2026-09-13T22:00:00.000Z · 2026-12-21T23:00:00.000Z · Berlin · Blended Learning
• 2026-09-13T22:00:00.000Z · 2026-12-21T23:00:00.000Z · Augsburg, Bayern · Blended Learning
• 2026-09-13T22:00:00.000Z · 2026-12-21T23:00:00.000Z · Recklinghausen, Westfalen · Blended Learning
• 2026-09-13T22:00:00.000Z · 2026-12-21T23:00:00.000Z · Bergisch Gladbach · Blended Learning
• 2026-09-13T22:00:00.000Z · 2026-12-21T23:00:00.000Z · Erfurt · Blended Learning