Syllabus
⚠️ This content is archived as of March 2026 and is retained exclusively for reference. Find current offerings.
The materials for each lecture are linked in the table below. Alternatively, you can browse:
- The Google Drive folder containing all lecture slides.
- The YouTube playlist of all recorded screencasts.
| Week | Lecture | Date | Topic | Lab | Discussion | Homework |
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| 1 | 1 | 06/24/2019 |
Introduction to Data Science, Logistics, Study Design [slides]
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| 2 | 06/25/2019 |
Data Tables with pandas Part 1 [slides]
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| 3 | 06/26/2019 |
Data Tables with pandas Part 2 [slides]
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| 4 | 06/27/2019 |
Data Cleaning [slides]
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| 2 | 5 | 07/01/2019 |
Visualization [slides]
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| 6 | 07/02/2019 |
Visualization [slides]
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Lab3 (due 07/02 @ 11:59PM) |
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| 7 | 07/03/2019 |
EDA & Working with Text [slides]
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HW2 (due 07/09 @ 11:59PM) |
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| 8 | 07/04/2019 |
Holiday (no class)
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HW3 (due 07/12 @ 11:59PM) |
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| 3 | 9 | 07/08/2019 |
SQL [slides]
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| 10 | 07/09/2019 |
Dimensionality Reduction [slides]
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Lab5 (due 07/09 @ 11:59PM) |
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| 11 | 07/10/2019 |
PCA [slides]
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| 12 | 07/11/2019 |
Midterm Review (originally a Case Study) [slides]
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Lab6 (due 07/11 @ 11:59PM) |
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| 4 | 13 | 07/15/2019 |
Midterm Review [slides]
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| 14 | 07/16/2019 |
Midterm
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| 15 | 07/17/2019 |
Foundations of Statistical Inference: Random Variables and Estimators [slides]
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HW4 (due 07/23 @ 11:59PM) |
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| 16 | 07/18/2019 |
Foundations of Statistical Inference: Risk and Loss Functions [slides]
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| 5 | 17 | 07/22/2019 |
Linear Regression [slides]
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| 18 | 07/23/2019 |
Gradient Descent [slides]
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Lab 8 (due 07/23 @ 11:59PM) |
HW5 (due 07/26 @ 11:59PM) |
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| 19 | 07/24/2019 |
Feature Engineering and Bias-Variance [slides]
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| 20 | 07/25/2019 |
Cross-Validation and Regularization [slides]
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Lab 9 (due 07/25 @ 11:59PM) |
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| 6 | 21 | 07/29/2019 |
Logistic Regression [slides]
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| 22 | 07/30/2019 |
Classifier Evaluation and Fitting [slides]
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Lab 10 (due 07/30 @ 11:59PM) |
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| 23 | 07/31/2019 |
Decision Boundaries, Modeling Considerations [slides]
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| 24 | 08/01/2019 |
Inference for Modeling [slides]
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Lab 11 (due 08/01 @ 11:59PM) |
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| 7 | 25 | 08/05/2019 |
Big Data and Ray (Guest Lecturer: Robert Nishihara) [slides]
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| 26 | 08/06/2019 |
Big Data and Spark, Decision Trees [slides]
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Lab 12 (due 08/06 @ 11:59PM) |
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| 27 | 08/07/2019 |
Random Forests, Runtime Analysis, Modeling Overview [slides]
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| 28 | 08/08/2019 |
Ethics & Conclusion [slides]
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| 8 | 29 | 08/12/2019 |
Final Review [slides]
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| 30 | 08/13/2019 |
Final Review [slides]
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| 31 | 08/14/2019 |
Break (no lecture)
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| 32 | 08/15/2019 |
Final (9:30am - 12:30pm)
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