This course is an introduction to programming with Python with a special focus on data analysis, for which the programming language is known to be particularly powerful. Through morning lectures and afternoon applied sessions, the participants will learn the fundamentals of programming as well as how to use Python as a powerful tool for data wrangling, data visualization, and data analysis. The objectives of the course are to give participants the tools that all basic programming tasks need as well as an overview of the specific topics needed to carry out analyses for multiple data types.

 

Morning sessions will be lecture-based, with an introduction to fundamentals accompanied by quick exercises to practice the acquired knowledge. Afternoon sessions will be project-based: the objective is to, as a group, carry out statistical analysis of a data set, using all the essentials learned during the mornings. By the end of the workshop, participants will be able to read data files, manipulate data using base Python, create and manipulate data frames using Pandas, and run analyses on their data using NumPy and SciPy.

You will find the course useful if:

By the end of the course, you will:

None.

 

Google account as we will be using Google Colab for the workshop.