UCLA Stats 404 - Statistical Computing and Programming

Developed and taught this core graduate course to 80+ students at UCLA Masters of Applied Statistics (2019-2021)

Course Description

Lecture, three hours; discussion, one hour. Limited to Master of Applied Statistics students. Fundamentals of statistical programming using Python and SQL. Python is currently state-of-the-art for the analysis of data, statistical computing, and software development in the industry. Performance of analysis of real datasets using Python...

Course Learning Objectives

The goal of this course is to prepare students for Data Scientist or Machine Learning Engineering roles in industry, by learning marketable skills and best practices for collaborating with technical and non-technical stakeholders, and developing statistical or Machine Learning software via Python, SQL, and Git.

By the end of the course, students should be able to:

Agenda (subject to change)

Relevant Links

Please note: When I'm not teaching the class, the content is under development and the links may not work.