Learning from data in order to gain useful predictions and insights. At

the end of the course students will have an understanding of the basic

programming skills needed for data analysis and visualization. They

will also have familiarity of the typical data processing workflow of data

preparation and scraping, visualization and exploratory analysis and final

statistical modeling. Students will become familiar with the main Python

libraries for data science.