The course aims to provide the basic computational tools to perform data analysis. The main contents are: introduction to the Data Viz; view different types of data; effective communication of results; tidy data and data manipulation; web scraping; Data Science process design; model language; model non-linearity; taxonomy of ML models. Introduction to critical thinking; modeling relational data: graphs. Communicating GitHub Results; Markdown; Effective writing for reporting; Data Storytelling; Public Speaking.