Statistics 131a: Statistical Methods for Data Science

UC Berkeley, Fall 2024

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Announcements 📣

Complete the anonymous course pulse check.

Lab 2 is due Wednesday 9/18 at midnight.

Lab 3 is due Monday 9/23 at midnight.

Your Lab 3 submission must include a completed PDF of the Lecture 8 worksheet.
You can ignore the two normal distribution plots at the very end of the worksheet.

HW2 is due Friday 9/27 at midnight.

Schedule 📅

Week 4

Fri Sep 20:	Lecture 8b More on sampling distributions	Worksheet Abridged slides for live notes
Thu Sep 19:	Section 6 Sampling distributions	Lab 3 (DataHub) Lab 3 (GitHub)
Wed Sep 18:	Lecture 8a Sampling distributions	Demo (DataHub) Demo (GitHub) Slides Worksheet
Tue Sep 17:	Section 5 Wrap up probability exercise and Lab 2
Mon Sep 16:	Lecture 7 Parallel universes	Slides Worksheet

Week 3

Fri Sep 13:	Lecture 6b More parables and perplexing problems pertaining to probability	Slides Annotated slides Worksheet
Thu Sep 12:	Section 4 Conceptual review of probability
Wed Sep 11:	Lecture 6a Parables and perplexing problems pertaining to probability	Slides Worksheet
Tue Sep 10:	Section 3 Working with distributions in R	Lab 2 (DataHub) Lab 2 (GitHub)
Mon Sep 9:	Lecture 5 Data from Distributions	Slides Annotated slides Worksheet Lecture code (DataHub)

Week 2

Fri Sep 6:	Lecture 4 Distributions of Data	Slides Worksheet Lecture code (DataHub)
Thu Sep 5:	Section 2 Data munging and plotting with stop-and-frisk	Lab 1 (DataHub) Lab 1 (GitHub)
Wed Sep 4:	Lecture 3 Boxplots and Histograms	Slides Worksheet Lecture code (DataHub)
Tue Sep 3:	Section 1 Data munging and plotting with stop-and-frisk	Lab 1 (DataHub)
Mon Sep 2:	Holiday (Labor Day)

Week 1

Fri Aug 30:	Lecture 2 Principles of visualization	Slides Worksheet Lab 0 (HTML w/ DataHub Link)
Wed Aug 28:	Lecture 1 Welcome!	Slides Worksheet

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