Data Analyst: Data Analysis

Course overview

The training "Data Analyst: Data Analysis" combines data analysis, data foundation, preparation, evaluation, and presentation. The focus is on project work and application, as well as the practical application of the relevant technical terms and work steps. Data Analysis • Process of data analysis from the question to the result using practical examples • Methods of descriptive analysis and calculation of key figures with accompanying exercises • Evaluation of data using suitable tools including documentation of results • Interpretation and documentation of analysis results in successive work steps Data Foundation and Preparation • Data sources, data formats, and data provision • Cleaning and checking data quality • Structuring and transforming data for evaluation • Documentation of data provenance and work steps Evaluation and Presentation • Selection of suitable key figures and methods • Presentation of results in tables and charts • Interpretation of results in a professional context • Preparation for specialist departments and decision-makers Project Work and Application • Planning a practical task with goals and timeline • Implementation using the taught methods and tools • Testing and revising results • Documentation and presentation of work results The training combines data analysis and data foundation and preparation, imparting knowledge in evaluation and presentation as well as project work and application. The professional contexts are addressed in the context of Data Analyst: Data Analysis.

Upcoming dates

• 2026-11-08T23:00:00.000Z · 2027-05-26T22:00:00.000Z · Aachen · Blended Learning
• 2026-11-08T23:00:00.000Z · 2027-05-26T22:00:00.000Z · Berlin · Blended Learning
• 2026-11-08T23:00:00.000Z · 2027-05-26T22:00:00.000Z · Hannover · Blended Learning
• 2026-11-08T23:00:00.000Z · 2027-05-26T22:00:00.000Z · Duisburg · Blended Learning
• 2026-11-08T23:00:00.000Z · 2027-05-26T22:00:00.000Z · München · Blended Learning

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