Collect data, analyze it from A to Z and extract information using Python. The goal is to acquire the skills to become an autonomous data scientist. The training will consist of a theoretical part to understand the concepts and a practical part made up of cases, examples and concrete exercises.

• Use Spyder, a text editor for Python.
• Retrieve data and integrate it into a work plan.
• Efficiently manipulate data with Python and the Pandas library.
• Use Python to do data science.
• Program in Python.
• Know the different data structures (lists, dictionaries, tables, dataframes, ...).
• Explore and visualize data with Matplotlib, Seaborn and Bokeh.