Statistics C131A: Statistical Methods for Data Science
UC Berkeley, Spring 2026
Announcements 📣
Schedule 📅
Week 8
| Mon Mar 9: | Lecture Canceled 20 Power analysis and 2-sample test. |
Slides |
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Week 7
| Fri Mar 6: | Lecture 19 Demo of hypothesis testing | |
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| Thu Mar 5: | Section 11 Midterm practice | |
| Wed Mar 4: | Lecture 18 Intro to Hypothesis testing |
Seating map |
| Tue Mar 3: | Section 10 More on hypothesis testing |
Lab 5 (DataHub) Lab 5 (GitHub) |
| Mon Mar 2: | Lecture 17 More practice with sampling |
Tons of exam practice exercises |
Week 6
| Fri Feb 27: | Lecture 16 More practice with sampling |
Updated practice notes |
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| Thu Feb 26: | Section 9 Finish lab 4 and practice | |
| Wed Feb 25: | Lecture 15 Practice with distributions and estimators for the midterm |
Practice problems |
| Tue Feb 24: | Section 8 Confidence intervals in R |
Lab 4, Part B (DataHub) Lab 4, Part B (GitHub) |
| Mon Feb 23: | Lecture 14 The hunt for the sampling distribution. Calculating confidence intervals. |
Slides |
Week 5
| Fri Feb 20: | Lecture 13 Casting the smallest net to catch the biggest fish. Confidence intervals |
Slides |
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| Thu Feb 19: | Section Canceled | |
| Wed Feb 18: | Lecture 12 Magic tricks to know the unknown: sampling distributions. |
Slides |
| Tue Feb 17: | Section 7 Sampling distributions |
Lab 3, Part A (DataHub) Lab 3, Part A (GitHub) |
| Mon Feb 16: | Lecture No lecture (Presidents' Day) |
Week 4
| Fri Feb 13: | Lecture 11 Throwing darts into the clouds: our first point estimator. |
Slides |
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| Thu Feb 12: | Section n/a canceled | |
| Wed Feb 11: | Lecture 10 Lost in the clouds: Normal, functions of RV, Intro to Inference. |
Slides |
| Tue Feb 10: | Section 6 Exercises on probability distributions. | |
| Mon Feb 9: | Lecture 9 CDF, variance, exercices with distributions and expectations. Introduction to inference. |
No slides for now |
Week 3
| Fri Feb 6: | Lecture 8 Continuous distributions |
Slides |
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| Thu Feb 5: | Section 5 Working with distributions in R (continued) | |
| Wed Feb 4: | Lecture 7 More discrete distributions |
Slides |
| Tue Feb 3: | Section 4 Working with distributions in R |
Lab 2 (DataHub) Lab 2 (GitHub) |
| Mon Feb 2: | Lecture 6 Random Variables & Distributions |
Slides (only partly followed) |
Week 2
| Fri Jan 30: | Lecture 5 Finish plotting plus Intro to distributions. |
No Slides |
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| Thu Jan 29: | Section 3 Data munging and plotting with stop-and-frisk (continued) | |
| Wed Jan 28: | Lecture 4 Histograms |
Slides (finishing up previous ones) |
| Tue Jan 27: | Section 2 Data munging and plotting with stop-and-frisk |
Lab 1 (DataHub) Lab 1 (HTML) |
| Mon Jan 26: | Lecture 3 Boxplots |
Slides Worksheet Lecture code (DataHub) Lecture code (GitHub) |
Week 1
| Fri Jan 23: | Lecture 2 Principles of visualization |
Slides Worksheet |
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| Thu Jan 22: | Section 1 Getting started with R (not graded!) |
Lab 0 (HTML w/ DataHub Link) |
| Wed Jan 21: | Lecture 1 Welcome! |
Slides Worksheet |
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