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Data Science with Python

You want to learn Python for Data Science, but don’t find the time to visit synchronous courses regularly?

Register for this free self-paced course and learn all you need to start with Python on your own schedule!

Introductory Tutorials

  • Python Introduction
  • Basic Scripting in Pyhton
  • Functions and Packages

Advanced: Data Management and Visualisation

  • Introduction to Pandas
  • Data Exploration in Pandas
  • Visualisation with Matplotlib
  • Advanced Plotting

Advanced: Working with Libraries

  • Numpy/Scipy
  • Working with Web Documents
  • Machine Learning with scikit-learn

About the Instructors

Sven Hertling and Nicolas Heist both work at the University of Mannheim as researchers or scientific staff. While Hertling holds a Master’s degree in Computer Science and primarily researches semantic technologies/semantic web, linked data, and knowledge graphs, Heist’s research interests primarily focuses on Semantic Web technologies, Knowledge Graphs, and Linked Data.

Data Science with R

You want to learn R for Data Science, but don’t find the time to visit synchronous courses regularly?

Register for this free self-paced course and learn all you need to start with R on your own schedule!

Introductory Tutorials

  • The True Basics of R
  • Data Manipulation in R
  • Data Visualization in R

Advanced Data Manipulation in R

  • Data Management
  • Subsets & Aggregation
  • Advanced Programming
  • Testing in R

Advanced Data Visualization in R

  • The Concept of Visualization & Advanced base R Graphs
  • Introduction to ggplot2
  • Advanced ggplot2

About the Instructor

Leonie Gehrmann is a doctoral student at the University of Mannheim in the field of Marketing. Her research interests primarily focus on machine learning applications in marketing, economics of data, and consumer psychology.

Data Literacy Essentials: Visualize Data

How do you visualize research data? Let’s face it: depending on the extent, research data can literally „overwhelm“ you at first glance. So how do you manage to present your data in an appealing way so that other people can also get a quick overview? We show you how to present data graphically.