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YData: An Introduction to Data Science
YData is an introduction to the fundamental ideas and skills of data science. Based on Berkeley’s popular Data 8 course, YData is an introduction to data science that emphasizes computational and programming skills along with inferential thinking.
Calendar Spring 2019
Instructors: Jessi Cisewski-Kehe and John Lafferty
Lecture: MWF 10:30-11:20, LUCE 101
| Date | Topic | Lecture | Reading | Assignment |
|---|---|---|---|---|
| Mon 1/14 | Introduction | Demos, Slides | Chapter 1.1, 1.2, 1.3 | |
| Wed 1/16 | Cause and Effect | Slides | Chapter 2 | Practice 01: Expressions |
| Fri 1/18 | Tables | Demos (Binder verison), Slides | Chapter 3 | Homework 01 (Due Thu 1/24) |
| Mon 1/21 | No class (MLK day) | — | — | — |
| Wed 1/23 | Data Types | Demos, Slides | Chapters 4, 5 | Practice 02: Types & Sequences |
| Fri 1/25 | Building Tables | Demos (Binder verison), Slides | 6.1, 6.2 | Homework 02 (Due Thu 1/31) |
| Mon 1/28 | Census | Demos, Slides | 6.3, 6.4 | |
| Wed 1/30 | Charts | Demos, Slides | 7, 7.1 | Practice 03: Arrays & Tables |
| Fri 2/1 | Histograms | Demos, Slides | 7.2, 7.3 | Homework 03 (Due Thu 2/7) |
| Mon 2/4 | Functions | Demos, Slides | 8, 8.1 | |
| Wed 2/6 | Groups | Demos, Slides | 8.2, 8.3 | Practice 04: Histograms & Functions |
| Fri 2/8 | Joins | Demos (Binder version), Slides | 8.4, 8.5 | Homework 04 (Due Thu 2/14) Project 1: World Progress (Checkpoint Fri 2/15; Due Fri 2/22) |
| Mon 2/11 | Table Examples | Demos (Binder version), Slides | 8.5 | |
| Wed 2/13 | Iteration | Demos, Slides | 9, 9.1, 9.2, 9.3 | |
| Fri 2/15 | Chance | Demos, Slides | 9.4, 9.5 | Homework 05 (Due Thu 2/21) |
| Mon 2/18 | Sampling | Demos, Slides | 10, 10.1, 10.2 | |
| Wed 2/20 | Models | Demos, Slides | 10.3, 11.1 | Practice 05: Sampling |
| Fri 2/22 | Comparing Distributions | Demos, Slides | 11.1, 11.2 | Homework 06 (Due Thu 2/27) Project 1 |
| Mon 2/25 | Decisions and Uncertainty | Demos, Slides | 11.3 | |
| Wed 2/27 | A/B Testing | Demos, Slides | 12.1, 12.2 | Practice 06: Assessing Models |
| Fri 3/1 | Causality | Demos, Slides | 12.3 | Homework 07 (Due Thu 3/28) Practice midterm (sample solution) Study sheet Midterm solution |
| Mon 3/4 | Examples | Slides | Midterm Review | |
| Wed 3/6 | Midterm Exam | |||
| Fri 3/8 | Confidence Intervals | Demos, Slides | 13, 13.1, 13.2 | |
| 3/8 – 3/24 | Spring Recess | |||
| Mon 3/25 | Interpreting Confidence | Demos, Slides | 13.3, 13.4 | |
| Wed 3/27 | Center and Spread | Demos, Slides | 14, 14.1, 14.2 | Practice 07: Bootstrap |
| Fri 3/29 | The Normal Distribution | Demos, Slides | 14.3, 14.4 | Homework 08 (Due Thu 4/4) Project 2: Diet & Disease (Checkpoint Fri 4/5; Due Fri 4/12) |
| Mon 4/1 | Sample Means | Demos, Slides | 14.5 | |
| Wed 4/3 | Designing Experiments | Demos, Slides | 14.6 | |
| Fri 4/5 | Correlation | Demos, Slides | 15, 15.1 | Homework 09 (Due Thu 4/11) Project 2 checkpoint |
| Mon 4/8 | Linear Regression | Demos, Slides | 15.2 | |
| Wed 4/10 | Least Squares | Demos, Slides | 15.3, 15.4 | Practice 08: Correlation |
| Fri 4/12 | Residuals | Demos, Slides | 15.5, 15.6 | Homework 10 (Due Thu 4/18) Project 2 due Project 3: Classifying Movies (Optional; Due Fri 4/26) |
| Mon 4/15 | Regression Inference | Demos, Slides | Chapter 16 | |
| Wed 4/17 | Classification | Demos, Slides | 17, 17.1, 17.2, 17.3 | |
| Fri 4/19 | Classifiers | Demos, Slides | 17.4 | Homework 11 (Due Thu 4/25) |
| Mon 4/22 | Classifiers | Demos, Slides | ||
| Wed 4/24 | Decisions | Demos, Slides | Chapter 18 | Practice 09: Regression |
| Fri 4/26 | Conclusion | Slides | Project 3 due | |
| Sun 5/5 | Final Exam | Sunday 2pm |