Python for Data Science

With an extensive landscape of libraries for data processing, analysis and visualization as well as architecture of machine learning models, the Python programming language offers an ideal platform for data scientists. Participants of the training will quickly learn the most important basics of the Python programming language and work through the fundamentals of handling data (including import, processing, analysis and presentation) in interactive exercises. The workshop also gives a first insight into the topic of Machine Learning and works on a first example based on a classification.

• Basics of the Python programming language
• Efficient numerical calculations (with numpy)
• Processing and explorative analysis of data (with pandas)
• Visualization (e.g. matplotlib, plotly)
• Machine Learning concepts at a glance (e.g. algorithmic and statistical basics, learning scenarios, metrics, evaluation)
• Machine Learning Pipeline using classification as an example (with scikit-learn)
• Interactive material and interactive exercises throughout (using Jupyter notebooks).

Participants will work with interactive electronic materials.

You will receive the comprehensive documentation package of the ExperTeach Networking series – printed documentation, e-book, and personalized PDF! As online participant, you will receive the e-book and the personalized PDF.

The workshop is aimed at users who are looking for an introduction to the topic of data analysis and its implementation with Python. The workshop teaches theoretical and practical basics and uses extensive interactive exercises for direct application and subsequent deepening of understanding.

Participants in this workshop should have an interest in working with data and statistical methods, as well as be familiar with basic programming. Basic knowledge of the Python programming language is an advantage.