Master the whole process of a data scientist.   

Learning Objectives

It’s hands on. 80% practical, 20% theory. 

Program in python and work with Git & GitHub repositories;

Understand the data science processes (data exploration, preprocessing, building a ML model, performance indicators and error metrics, model optimization);

Smart visualization to transform data into information;

Think critically about data and draw conclusions based on your analysis;

Grasp an understanding of the most commonly used tools in the Industry and learn how to use them to support your needs.