Instructors: Anna Nguyen and Philippe (Phil) Boileau

Note: Topics are subject to changes.

Textbook Readings

Date	Course Content	Assignments
Sun 06/21	Module 1.1 - Introduction: Introduction, Cause and Effect, Data Types
Mon 06/22	Live Lecture: Introduction (Slides) (Video)	Lab 01: Expressions Homework 01 (Due Thu 06/25)
Tue 06/23	Module 1.2 - Tables I: Introduction to Tables, Arrays and Columns, Building Tables, Census Example Discussion 1: Introduction (Worksheet) (Video)
Wed 06/24	Live Lecture: Introduction to Tables (Slides) (Demo) (Video)	Lab 02: Table Operations
Thu 06/25	Discussion 2: Data Types (Worksheet) (Video)	Homework 02 (Due Sun 06/28)
Fri 06/26	Data Exploration Lecture: Data Sources (Slides) (Video)

Textbook Readings:

Date	Course Content	Assignments
Sun 06/28	Module 2.1 - Data Visualization: Charts, Histograms, Overlayed Histograms
Mon 06/29	Live Lecture: Data Visualizations (Slides) (Demo) (Video)	Lab 03: Data Types and Table Creation Homework 03 (Due Thu 07/02)
Tue 06/30	Module 2.2 - Tables II: Functions, Groups, Joins, Tables Review Discussion 3: Extending Tables (Worksheet) (Video)
Wed 07/01	Live Lecture: Advanced Table Opertations (Slides) (Demo) (Video)	Lab 04: Functions and Visualizations
Thu 07/02	Discussion 4: Visualizations and Histograms (Worksheet) (Video)	Homework 04 (Due Sun 07/05)
Fri 07/03	Holiday: No Class

Textbook Readings:

Date	Course Content	Assignments
Sun 07/05	Module 3.1 - Probability and Sampling: Iteration, Chance, Conditioning, Sampling
Mon 07/06	Live Lecture: Probability and Sampling (Slides) (Demo) (Video)	Lab 05: Simulations Homework 05 (Due Thu 07/09) Project 1 (Due Sun 07/12)
Tue 07/07	Module 3.2 - Hypothesis Testing I: Statistical Models, Comparing Distributions, Decisions and Uncertainty Discussion 5: Simulations (Worksheet) (Video)
Wed 07/08	Live Lecture: Hypothesis Testing (Slides) (Demo) (Video)	Lab 06: Comparing Models
Thu 07/09	Discussion 6: Comparing Models (Worksheet) (Video)	Homework 06 (Due Sun 07/12)
Fri 07/10	Data Exploration Lecture: Data Quality Assessment (Slides) (Video)

Date	Course Content	Assignments
Sun 07/12	Module 4.1 - Hypothesis Testing II: A/B Testing, Causality
Mon 07/13	Live Lecture: A/B Testing (Slides) (Demo) (Video)	Lab 07: A/B Testing Homework 07 (Due Sun 07/19)
Tue 07/14	Discussion 7: A/B Testing (Worksheet) (Video)
Wed 07/15	Live Lecture: Midterm Review (Slides) (Video)	Discussion: Midterm Review 1/2 (Worksheet) (Video)
Thu 07/16	Discussion: Midterm Review 2/2 (Worksheet) (Video)
Fri 07/17	Midterm Exam	Midterm

Date	Course Content	Assignments
Sun 07/19	Module 5.1 - Uncertainty and Confidence Intervals: Estimation and the Bootstrap, Confidence Intervals
Mon 07/20	Live Lecture: Uncertainty and Confidence Intervals (Slides) (Demo) (Video)	Lab 08: Bootstrap Homework 08 (Due Thu 07/23)
Tue 07/21	Module 5.2 - Distributions: Center and Spread, The Normal Distribution Discussion 8: Bootstrapping (Worksheet) (Video)
Wed 07/22	Live Lecture: Center, Spread, and the Normal (Slides) (Demo) (Video)	Lab 09: The Normal Distribution and the Variance of Sample Means
Thu 07/23	Discussion 9: The Variance of Sample Means (Worksheet) (Video)	Homework 09 (Due Sun 07/26)
Fri 07/24	Data Exploration Lecture: Hypothesis Testing (Slides) (Demo) (Video)

Textbook readings:

Date	Course Content	Assignments
Sun 07/26	Module 6.1 - Linear Regression I: Correlation, Linear Regression
Mon 07/27	Live Lecture: Introduction to Linear Regression (Slides) (Demo) (Video)	Lab 10: Correlation and Regression Homework 10 (Due Thu 07/30)
Tue 07/28	Module 6.2 - Linear Regression II: Least Squares, Residuals, Inference Discussion 10: Correlation and Regression (Worksheet) (Video)
Wed 07/29	Live Lecture: Least Squares, Linear Regression Diagnostics, and Regression Inference (Slides) (Demo) (Video)	Lab 11: Regression Inference
Thu 07/30	Discussion 11: Regression Inference (Worksheet) (Video)	Homework 11 (Due Sun 08/02)
Fri 07/31	Data Exploration Lecture: Linear Regression (Slides) (Demo) (Video)

Date	Course Content	Assignments
Sun 08/02	Module 7.1 - Classification: Introduction, Classifiers
Mon 08/03	Live Lecture: Classification (Slides) (Demo) (Video)	Homework 12 (Due Thu 08/06) Project 2 (Due Sun 08/09)
Tue 08/04	Module 7.2 - Case Studies (Optional): Data Science and Privacy Discussion 12: Classification (Worksheet) (Video)
Wed 08/05	Data Exploration Lecture: Classification (Slides) (Video)
Fri 08/07	Live Lecture: How to Present Final Project Results (Slides) (Video)

Date	Course Content	Assignments
Mon 08/10	Guest Lecture: Ziad Obermeyer (Slides) (Video)
Wed 08/12	Live Lecture: Conclusion (Slides) (Video)	Final Project Due at 11:59 PM PDT
Fri 08/14	Panel: Careers in Data Science (1 PM) (Video)

Calendar