This is a repo for materials used for a module on quantitative research resources, taught at Glasgow International College, a University of Glasgow College.
link here: https://gracecarrillo.github.io/course-in-a-box/
Course Instructor: Graciela Carrillo
Module Coordinator: Dr. Molly Huq
Python is a powerful programming language used for many different applications. But a huge community around this open source language has created quite a few tools to efficiently work with Python for Data Science. Python is becoming the laguage of choice of anyone interested in analysing data.
In this crash course, we start from the very beginning, with basic arithmetic and variables, and learn how to handle data structures, such as Python lists, Numpy arrays, and Pandas DataFrames. We'll learn about Python functions and control flow. Plus, we'll look at the world of data visualizations with Python and create our own stunning visualizations based on real data.
This course was created using the Jekyll Course template from P2PU and following the tutorial at howto.p2pu.org