Statistics 131a: Statistical Methods for Data Science
UC Berkeley, Fall 2024
Announcements 📣
HW3 is due Friday 10/18 at midnight.
Lab 6 is due Wednesday 10/23 at midnight.
Schedule 📅
Week 8
| Fri Oct 18: | Lecture 15 Transformations and feature engineering | |
|---|---|---|
| Thu Oct 17: | Section 14 More on multiple testing + HW3 Help |
Lab 6 (DataHub) Lab 6 (GitHub) |
| Wed Oct 16: | Lecture 14 Uncertainty in regression and multiple regression | |
| Tue Oct 15: | Section 13 Multiple testing via simulation |
Lab 6 (DataHub) Lab 6 (GitHub) |
| Mon Oct 14: | Lecture 13 Correlation and simple linear regression |
Slides Worksheet |
Week 7
| Fri Oct 11: | Lecture 12b Power and experiment planning |
Slides Worksheet Lecture code (DataHub) Lecture code (GitHub) |
|---|---|---|
| Wed Oct 9: | Lecture MT1 Midterm 1 (in class) |
Seating map |
| Tue Oct 8: | Section 11 Midterm 1 Prep Section | |
| Mon Oct 7: | Lecture MT1P Midterm 1 Prep Lecture |
Annotated worksheet/slides Worksheet/slides |
Week 6
| Fri Oct 4: | Lecture 12a Type I+II errors and multiple testing |
Slides Annotated slides Worksheet Lecture code (DataHub) Lecture code (GitHub) |
|---|---|---|
| Thu Oct 3: | Section 10 More on hypothesis testing |
Lab 5 (DataHub) Lab 5 (GitHub) |
| Wed Oct 2: | Lecture 11b More on hypothesis testing |
Slides (Updated) Worksheet Lecture code (DataHub) Lecture code (GitHub) |
| Tue Oct 1: | Section 9 Intro to hypothesis testing |
Lab 5 (DataHub) Lab 5 (GitHub) |
| Mon Sep 30: | Lecture 11a Intro to hypothesis testing |
Slides Annotated slides Worksheet |
Week 5
| Fri Sep 27: | Lecture 10b More on confidence intervals |
Demo (DataHub) Demo (GitHub) Slides Annotated slides Worksheet Lecture code (DataHub) Lecture code (GitHub) |
|---|---|---|
| Thu Sep 26: | Section 8 Confidence intervals in R |
Lab 4, Part B (DataHub) Lab 4, Part B (GitHub) |
| Wed Sep 25: | Lecture 10a Confidence intervals |
Slides Annotated slides Worksheet Lecture code (DataHub) Lecture code (GitHub) |
| Tue Sep 24: | Section 7 The bootstrap in R |
Lab 4, Part A (DataHub) Lab 4, Part A (GitHub) |
| Mon Sep 23: | Lecture 9 The bootstrap |
Slides Demo (DataHub) Demo (GitHub) Worksheet |
Week 4
| Fri Sep 20: | Lecture 8b More on sampling distributions |
Slides Worksheet |
|---|---|---|
| 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 (GitHub) Lecture code (DataHub) |
Week 2
| Fri Sep 6: | Lecture 4 Distributions of Data |
Slides Worksheet Lecture code (DataHub) Lecture code (GitHub) |
|---|---|---|
| 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) Lecture code (GitHub) |
| 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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