Requirements: Basic knowledge of programming, databases and data analysis.
Participants will identify different data analysis strategies in Python, from reading different data sources, exploratory data analysis, preparation and cleaning as well as learn the basics of libraries such as pandas and numpy, best practices for developing efficient code in these and methods available to manipulate data that exceeds the physical memory limit of a personal computer. The total hours assigned to the course is 16 hours, the course material includes guided exercises and their answers.