# Principles of Data Science π

DSC 10, Winter 2022 at UC San Diego

**Update as of January 31st:**

- Lectures, discussions, and some office hours are now offered in-person.
**Lectures are in Center Hall 214, and discussions are in Center Hall 105.**You may still join all lectures and discussions remotely via Zoom by using the link below. - In addition to watching recordings by clicking the π₯ buttons below, you can watch in-person recordings on podcast.ucsd.edu if youβd prefer.
- Some office hours are in-person and some are remote; see the Calendar for more details.

### Week 1 β Welcome to DSC 10! π

- Jan 3
**LEC 1**Introduction π₯- Jan 5
- Jan 7

### Week 2 β Arrays and DataFrames

- Jan 10
**LEC 4**Arrays and DataFrames π₯- Jan 11
**Lab 1**Expressions and Data Types (due 1/11)- Jan 12
- Jan 14
**LEC 6**More Queries and GroupBy π₯- Jan 15
**HW 1**Causality and Basic Python (due 1/15)

### Week 3 β Data Visualization

- Jan 17
No Lecture (MLK Day)

**DIS 2**Arrays and DataFrames π₯- Jan 18
**Lab 2**Arrays and DataFrames (due 1/18)- Jan 19
**LEC 7**Data Visualization π π₯- Jan 21
- Jan 22
**HW 2**Arrays and DataFrames (due 1/22)

### Week 4 β More DataFrame Operations

- Jan 24
**LEC 9**Functions and Apply π₯**DIS 3**Plotting and Functions π₯- Jan 25
**Lab 3**Data Visualization and Python Functions (due 1/25)- Jan 26
- Jan 28
- Jan 30
**HW 3**Data Visualization and Python Functions (due 1/30)

### Week 5 β Probability, Simulation, and Sampling

- Jan 31
**LEC 12**Probability (blank pdf) (1pm pdf) (2pm pdf) π₯- Feb 1
**Lab 4**DataFrames, Control Flow, and Probability (due 2/1)- Feb 2
**LEC 13**Simulation π₯- Feb 4
**LEC 14**Distributions and Sampling π₯- Feb 5
**HW 4**DataFrames, Control Flow, and Probability (due 2/5)

### Week 6 β Midterm Exam, Hypothesis Testing

- Feb 7
**LEC 15**Hypothesis Testing π₯**DIS 5**Midterm Review π₯- Feb 9
**Exam****Midterm Exam (remote, during class)**- Feb 11
- Feb 12
**PROJ**Midterm Project (due 2/12) (pair programming)

### Week 7 β Permutation Testing, Bootstrapping, and Confidence Intervals

- Feb 14
**LEC 17**Permutation Testing π₯**DIS 6**Hypothesis Testing π₯- Feb 16
**LEC 18**Causality, Bootstrapping π₯- Feb 17
**Lab 5**Simulation, Sampling, and Hypothesis Testing (due 2/17)- Feb 18
- Feb 19
**HW 5**Simulation, Sampling, and Hypothesis Testing (due 2/19)

### Week 8 β Confidence Intervals and the Normal Curve

- Feb 21
No Lecture (Presidentsβ Day)

- Feb 22
**Lab 6**Resampling and the Bootstrap (due 2/22)- Feb 23
- Feb 25
**LEC 21**Normal Curve π₯- Feb 26
**HW 6**Permutation Testing, Percentiles, and Bootstrapping (due 2/26)

### Week 9 β Central Limit Theorem and Regression

- Feb 28
**LEC 22**Central Limit Theorem π₯**DIS 8**Bootstrapping, Confidence Intervals, and the Normal Curve π₯- Mar 1
**Lab 7**Center, Spread, and the Normal Distribution (due 3/1)- Mar 2
**LEC 23**Experiment Design π₯- Mar 4
**LEC 24**Prediction and Correlation π₯- Mar 5
**HW 7**Confidence Intervals, Normal Distributions, and the CLT (due 3/5)

### Week 10 β Regression, Conclusion, and the Final Exam

- Mar 7
**LEC 25**Regression and Least Squares π₯- Mar 9
**PROJ**Final Project (due 3/9) (pair programming)- Mar 10
**Lab 8**Regression (due 3/10)- Mar 11
**LEC 27**Review, Conclusion π₯- Mar 12
**SUR**End of Quarter Survey + CAPEs (due 3/12 8AM)**Exam****Final Exam (remote, 3-6PM)**