Programming Languages and Frameworks for Data Science

This course provides an overview of common programming languages and frameworks for data science. Based on an introduction to common data science activities, frameworks and libraries from Python, Matlab, Java, R, C++ and Unix are classified and presented. In addition, the most common deep learning frameworks are given in an excursion. Practical exercises will provide a basic introduction to Python for Data Science. Basic programming skills are an advantage. Introductory material on the basics of Python can be found here.

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Theory

[slides] ML Introduction

[slides] ML Programming Languages

[slides] ML Deep Learning

Practice

[notebook] Introduction - Python

[notebook] Working with table data

[notebook] Using pandas

[notebook] Analyzing dependencies

[notebook] Machine Learning