Introduction to Python Programming

2.5 credits

Created in 1989, Python is one of the most popular programming languages in the world - attributable to its power, simplicity, and flexibility. Data analysts of all kinds (including business and marketing analysts, data scientists, management consultants, and product managers) can use Python - in combination with powerful, third-party packages including NumPy, Pandas, Matplotlib, and Seaborn - to import, explore, manipulate, analyze, and visualize data. By completing this course, you will be able to think like a programmer (with the practiced ability to break down complex problems into a series of smaller steps and pseudocode), write basic computer programs using Python (to implement your pseudocode and achieve your desired outcomes), and perform basic data analytics using Python (to import, explore, manipulate, analyze, and visualize data).