Data Visualization with Data Science

Course overview

The training course "Data Visualization with Data Science" combines data visualization, data science, and modeling and forecasting. The focus is on data foundation and preparation as well as the practical application of the associated technical terms and work steps. Data Visualization • Selection of suitable chart types for data and questions based on practical examples • Creation of charts, histograms, and box plots with accompanying exercises • Design rules for clear and correct representation, including documentation of results • Development of interactive visualizations and dashboards in successive work steps Data Science • Process of a data science project from the question to evaluation • Data preparation, modeling, and evaluation of models • Use of Python and statistical methods • Presentation of results for specialist areas Modeling and Forecasting • Overview of statistical models and machine learning methods • Creation of training and test data • Evaluation and comparison of models • Interpretation of forecasts for decision-making 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 origin and work steps The training course connects data visualization and data science and imparts knowledge in modeling and forecasting as well as data foundation and preparation. The professional relationships are addressed in the context of data visualization with data science.

Upcoming dates

• 2026-11-08T23:00:00.000Z · 2027-03-07T23:00:00.000Z · Aachen · Blended Learning
• 2026-11-08T23:00:00.000Z · 2027-03-07T23:00:00.000Z · Berlin · Blended Learning
• 2026-11-08T23:00:00.000Z · 2027-03-07T23:00:00.000Z · Hannover · Blended Learning
• 2026-11-08T23:00:00.000Z · 2027-03-07T23:00:00.000Z · Duisburg · Blended Learning
• 2026-11-08T23:00:00.000Z · 2027-03-07T23:00:00.000Z · München · Blended Learning

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