Blog #Software

Have you always been intrigued by data analysis but didn't know where to start? This post is just for you. We'll learn together how to download and set up Python, what Jupyter is, and how to use libraries like Pandas, NumPy, and Matplotlib to turn dry numbers into interesting stories.

In this guide, you will learn how to divide your code into small functions, write a superfunction (Pipeline), and make a data project in R efficient and structured.

Discover the world of machine learning: tools and algorithms that enable machines to learn from data and become "intelligent." Suitable even without prior programming knowledge!

A beginner's guide to the main benefits and uses of R for data analysis and statistics