Complete course of Data Science and machine learning with Python

This course on Data Science with Python was created to be a complete path on how data analysis has evolved in recent years starting from classical algebra and statistics. The goal is to accompany a student who has some basic Python on a journey through the various souls of Data Science. We will start with a review of the basics of Python, starting from downloading and installing, setting up the work environment, going through structures, creating functions, using operators and some important functions. We will then move on to see how to manipulate and manage a dataset, extract cases or variables, generate random datasets, calculate basic statistical measures, create graphs with the Matplotlib and Seaborn packages. In the following sections we begin to enter the heart of Data Science with Python, starting with preprocessing: we see how to clean up and normalize a dataset, and how to manage missing data.