Syllabus

The materials for each lecture are linked in the table below. Alternatively, you can browse:

Week Lecture Date Topic Lab Discussion Homework
1 1 06/24/2019

Introduction to Data Science, Logistics, Study Design [slides]

2 06/25/2019

Data Tables with pandas Part 1 [slides]

  • Lab1 (due 06/25 @ 11:59PM)
3 06/26/2019

Data Tables with pandas Part 2 [slides]

4 06/27/2019

Data Cleaning [slides]

  • Lab2 (due 06/27 @ 11:59PM)
2 5 07/01/2019

Visualization [slides]

6 07/02/2019

Visualization [slides]

Lab3 (due 07/02 @ 11:59PM)

7 07/03/2019

EDA & Working with Text [slides]

HW2 (due 07/09 @ 11:59PM)

8 07/04/2019

Holiday (no class)

HW3 (due 07/12 @ 11:59PM)

3 9 07/08/2019

SQL [slides]

10 07/09/2019

Dimensionality Reduction [slides]

Lab5 (due 07/09 @ 11:59PM)

11 07/10/2019

PCA [slides]

12 07/11/2019

Midterm Review (originally a Case Study) [slides]

Lab6 (due 07/11 @ 11:59PM)

4 13 07/15/2019

Midterm Review [slides]

14 07/16/2019

Midterm

15 07/17/2019

Foundations of Statistical Inference: Random Variables and Estimators [slides]

HW4 (due 07/23 @ 11:59PM)

16 07/18/2019

Foundations of Statistical Inference: Risk and Loss Functions [slides]

Lab 7

5 17 07/22/2019

Linear Regression [slides]

18 07/23/2019

Gradient Descent [slides]

Lab 8 (due 07/23 @ 11:59PM)

HW5 (due 07/26 @ 11:59PM)

19 07/24/2019

Feature Engineering and Bias-Variance [slides]

20 07/25/2019

Cross-Validation and Regularization [slides]

Lab 9 (due 07/25 @ 11:59PM)

6 21 07/29/2019

Logistic Regression [slides]

22 07/30/2019

Classifier Evaluation and Fitting [slides]

Lab 10 (due 07/30 @ 11:59PM)

23 07/31/2019

Decision Boundaries, Modeling Considerations [slides]

24 08/01/2019

Inference for Modeling [slides]

Lab 11 (due 08/01 @ 11:59PM)

7 25 08/05/2019

Big Data and Ray (Guest Lecturer: Robert Nishihara) [slides]

26 08/06/2019

Big Data and Spark, Decision Trees [slides]

Lab 12 (due 08/06 @ 11:59PM)

27 08/07/2019

Random Forests, Runtime Analysis, Modeling Overview [slides]

28 08/08/2019

Ethics & Conclusion [slides]

8 29 08/12/2019

Final Review [slides]

30 08/13/2019

Final Review [slides]

31 08/14/2019

Break (no lecture)

32 08/15/2019

Final (9:30am - 12:30pm)