Principles of Data Science 📊

DSC 10, Spring 2022 at UC San Diego

👋 Welcome! Please start by reading this website, especially the syllabus and the schedule below.

Janine Tiefenbruck
she/her

jlobue@ucsd.edu

Zoom Link for Remote Office Hours Podcast Recordings

Week 1 – Association and Causality, Python Basics

Mar 28

LEC 1 Introduction

CIT 1.2-1.3

Mar 30

LEC 2 Association and Causality

CIT 2

Apr 1

LEC 3 Expressions and Data Types

Notes 1-6

Apr 2

SUR Beginning of Quarter Survey

Lab 1 Expressions and Data Types

Week 2 – Arrays and DataFrames

Apr 4

LEC 4 Arrays and DataFrames

Notes 7-8

DIS 1 Python Basics and Causality

Apr 5

HW 1 Causality and Basic Python

Apr 6

LEC 5 Accessing, Sorting, and Querying

Notes 9-10

Apr 8

LEC 6 More Queries and GroupBy

Notes 10-11

Apr 9

Lab 2 Arrays and DataFrames

Week 3 – Data Visualization, Functions

Apr 11

LEC 7 Data Visualization

Notes 14-17

DIS 2 Arrays and DataFrames

Apr 12

HW 2 Arrays and DataFrames

Apr 13

LEC 8 Histograms and Overlaid Plots

Notes 14-17

Apr 15

LEC 9 Functions and Apply

Note 12

Apr 16

Lab 3 Data Visualization and Python Functions

Week 4 – More DataFrame Operations, Probability

Apr 18

LEC 10 Grouping with Subgroups, Merge

Note 11.4, 13

DIS 3 Plotting and Functions

Apr 19

HW 3 Data Visualization and Python Functions

Apr 20

LEC 11 Booleans and Conditionals, Iteration

CIT 9.1-9.2

Apr 22

LEC 12 Probability

Note 18, CIT 9.5

Apr 23

Lab 4 DataFrames, Control Flow, and Probability

Week 5 – Simulation, Sampling, Midterm Exam

Apr 25

LEC 13 Simulation

Note 18

DIS 4 Control Flow and Probability, Supplementary Video

Apr 26

HW 4 DataFrames, Control Flow, and Probability

Apr 27

LEC 14 Distributions and Sampling

Notes 19-20

Review Midterm Review, Solutions, Zoom Recording (sign in w/ SSO), YouTube

Apr 29

Exam Midterm Exam, Solutions

Week 6 – Hypothesis Testing and Permutation Testing

May 2

LEC 15 Hypothesis Testing

Note 21

DIS 5 Midterm Solutions

May 4

LEC 16 Hypothesis Testing, Continued

Note 21, CIT 11.2

PROJ Midterm Project (find a partner) (pair programming)

May 6

LEC 17 Permutation Testing

Note 22, CIT 12

May 7

Lab 5 Simulation, Sampling, and Hypothesis Testing

Week 7 – Bootstrapping, Confidence Intervals

May 9

LEC 18 Causality, Bootstrapping

Note 23, CIT 12.2

DIS 6 Hypothesis, Permutation Testing

May 10

HW 5 Simulation, Sampling, and Hypothesis Testing

May 11

LEC 19 Percentiles and Confidence Intervals

Notes 24-25

May 13

LEC 20 Confidence Intervals, Center and Spread

CIT 14.1-14.2

May 14

Lab 6 Resampling and the Bootstrap

Week 8 – Normal Curve, Central Limit Theorem

May 16

LEC 21 Normal Curve

CIT 14.3-14.4

DIS 7 Bootstrap, Confidence Intervals

May 17

HW 6 Permutation Testing, Percentiles, and Bootstrapping

May 18

LEC 22 Central Limit Theorem 🎥 Watch Recording

CIT 14.4-14.5

May 20

LEC 23 Experiment Design

CIT 14.6

May 21

Lab 7 Center, Spread, and the Normal Distribution

Week 9 – Regression

May 23

LEC 24 Prediction and Correlation

CIT 15.1-15.2

DIS 8 Normal Curve, and CLT

May 24

HW 7 Confidence Intervals, Normal Distributions, CLT

May 25

LEC 25 Regression and Least Squares

CIT 15.2-15.3

May 27

LEC 26 Residuals and Inference 🎥 Watch Recording

CIT 15.5-15.6

May 28

Lab 8 Regression

Week 10 – Review, Final Exam

May 30: Memorial Day Holiday (No Lecture)
Jun 1: LEC 27 Review, Solutions; PROJ Final Project (find a partner) (pair programming)
Jun 2: REVIEW Final Review 🎥 Watch Recording
Jun 3: LEC 28 Review, Conclusion
Jun 4: SUR End of Quarter Survey (due 2:59pm) + CAPEs (due 8:00am) + TA Evals (due 6/6); Exam Final Exam (3-6pm), Version A Solutions, Version B Solutions