Course: Data Analysis (in English)

Before you can use machine/deep learning on a dataset, you first need to analyse it. In this course we're going to learn how to perform exploratory data analysis on different types of datasets using python. By the end, you will know the basics of how to: - load - clean - analyze and - visualize data.

In addition to the time we spend together, be prepared to invest time during the week for homework.

Prerequisites:

• basic python knowledge
• basic statistics
• Git. If you are not familiar with git, an introductory online tutorial will be enough to get you up and running.

This ticket is non-refundable. The course takes place from 6 participants; if the course does not take place, the paid amount will be refunded

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