About
UC Berkeley, Stat 133, Spring 2024
Instructor: Gaston Sanchez
Lecture: MWF 9am-10am in Stanley 105
Lab:
- Lab 101, Th 9am-11am, Evans 340 (Frederik)
- Lab 102, Th 9am-11am, Evans 342 (Zach)
- Lab 103, Th 11am-1pm, Evans 340 (Alex)
- Lab 104, Th 11am-1pm, Evans 342 (Frederik)
- Lab 105, Th 1pm-3pm, Evans 340 (Alex)
- Lab 106, Th 4pm-6pm, Evans 330 (Zach)
Code #: 19132
Units: 3
Final Exam: Monday, May 6th, 7-10pm, location TBD.
Dates: Jan-17 / May-01
Stat 133 is an introductory-to-intermediate level course to computational data analysis with an emphasis on four major cornerstones:
🔢 understand common data formats, and principles of data manipulation (e.g. wrangling, reshaping, tidying)
đź“Š production of data visualizations and their role in data analysis projects
đź’» learn basic principles for writing code, and programming concepts (with emphasis on data analysis)
⚒️ use computational tools to carry out the data analysis cycle, organize your workflow, and become familiar with reporting tools (via dynamic documents and web-apps)
Because Stat 133 is one of the core courses for Statistics majors, the underlying goal is to provide foundations for “computing with data” so that stat majors, as well as other data-dependent majors (e.g. Data Science, Applied Math, CogSci, Economics, etc), have the basic computational skills for subsequent upper division courses (e.g. Stat 150, 151A, 152, 153, 154, 155, 157, 158, 159).