Principles of Data Science 📊

DSC 10, Winter 2022 at UC San Diego

Suraj Rampure

Suraj Rampure
he/him

rampure@ucsd.edu

Lecture(s): MWF 1-1:50PM and 2-2:50PM in Center Hall 214

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 🎥 buttons below, you can watch in-person recordings on podcast.ucsd.edu if you’d prefer.
Some office hours are in-person and some are remote; see the Calendar for more details.

Zoom Link Recordings

Week 1 – Welcome to DSC 10! 👋

Jan 3

LEC 1 Introduction 🎥

Jan 5

LEC 2 Association and Causality 🎥

Jan 7

LEC 3 Expressions and Data Types 🎥

Week 2 – Arrays and DataFrames

Jan 10

LEC 4 Arrays and DataFrames 🎥

DIS 1 Python Basics and Causality 🎥

Jan 11

Lab 1 Expressions and Data Types (due 1/11)

Jan 12

LEC 5 Accessing, Sorting, and Querying 🎥

Jan 14

LEC 6 More Queries and GroupBy 🎥

Jan 15

HW 1 Causality and Basic Python (due 1/15)

Week 3 – Data Visualization

Jan 17

No Lecture (MLK Day)

DIS 2 Arrays and DataFrames 🎥

Jan 18

Lab 2 Arrays and DataFrames (due 1/18)

Jan 19

LEC 7 Data Visualization 📈 🎥

Jan 21

LEC 8 Histograms and Overlaid Plots 🎥

Jan 22

HW 2 Arrays and DataFrames (due 1/22)

Week 4 – More DataFrame Operations

Jan 24

LEC 9 Functions and Apply 🎥

DIS 3 Plotting and Functions 🎥

SUR Hybrid Format Survey

Jan 25

Lab 3 Data Visualization and Python Functions (due 1/25)

Jan 26

LEC 10 Grouping with Subgroups, Merge 🎥

Jan 28

LEC 11 Booleans and Conditionals, Iteration 🎥

Jan 30

HW 3 Data Visualization and Python Functions (due 1/30)

Week 5 – Probability, Simulation, and Sampling

Jan 31

LEC 12 Probability (blank pdf) (1pm pdf) (2pm pdf) 🎥

Note 18, CIT 9.5

DIS 4 Merge, Conditionals, and Iteration 🎥

Feb 1

Lab 4 DataFrames, Control Flow, and Probability (due 2/1)

Feb 2

LEC 13 Simulation 🎥

Feb 4

LEC 14 Distributions and Sampling 🎥

Feb 5

HW 4 DataFrames, Control Flow, and Probability (due 2/5)

Week 6 – Midterm Exam, Hypothesis Testing

Feb 7

LEC 15 Hypothesis Testing 🎥

DIS 5 Midterm Review 🎥

Feb 9

Exam Midterm Exam (remote, during class)

Feb 11

LEC 16 Hypothesis Testing, Continued 🎥

Note 21, CIT 11.2

Feb 12

PROJ Midterm Project (due 2/12) (pair programming)

Week 7 – Permutation Testing, Bootstrapping, and Confidence Intervals

Feb 14

LEC 17 Permutation Testing 🎥

Note 22, CIT 12

DIS 6 Hypothesis Testing 🎥

Feb 16

LEC 18 Causality, Bootstrapping 🎥

Note 23, CIT 12.2

Feb 17

Lab 5 Simulation, Sampling, and Hypothesis Testing (due 2/17)

Feb 18

LEC 19 Percentiles and Confidence Intervals 🎥

Feb 19

HW 5 Simulation, Sampling, and Hypothesis Testing (due 2/19)

Week 8 – Confidence Intervals and the Normal Curve

Feb 21

No Lecture (Presidents’ Day)

DIS 7 Permutation Testing (Recording Only) 🎥

Feb 22

Lab 6 Resampling and the Bootstrap (due 2/22)

Feb 23

LEC 20 Confidence Intervals, Center and Spread 🎥

Feb 25

LEC 21 Normal Curve 🎥

Feb 26

HW 6 Permutation Testing, Percentiles, and Bootstrapping (due 2/26)

Week 9 – Central Limit Theorem and Regression

Feb 28

LEC 22 Central Limit Theorem 🎥

DIS 8 Bootstrapping, Confidence Intervals, and the Normal Curve 🎥

Mar 1

Lab 7 Center, Spread, and the Normal Distribution (due 3/1)

Mar 2

LEC 23 Experiment Design 🎥

Mar 4

LEC 24 Prediction and Correlation 🎥

Mar 5

HW 7 Confidence Intervals, Normal Distributions, and the CLT (due 3/5)

Week 10 – Regression, Conclusion, and the Final Exam

Mar 7

LEC 25 Regression and Least Squares 🎥

DIS 9 Review (6-7:30PM) 🎥 Statistics Cheat Sheet

Mar 9

LEC 26 Review 🎥

PROJ Final Project (due 3/9) (pair programming)

Mar 10

Lab 8 Regression (due 3/10)

Mar 11

LEC 27 Review, Conclusion 🎥

Mar 12

SUR End of Quarter Survey + CAPEs (due 3/12 8AM)

Exam Final Exam (remote, 3-6PM)