Syllabus
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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