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Principles of Data Science

DSC 10, Summer 2025 at UC San Diego

Samantha (Sam) Chen
she/her/hers

sac003@ucsd.edu

Lecture: MTWF 9:30AM-10:50AM

This site is under construction. Anything you read here is not finalized. This disclaimer will be removed when the site is ready for Summer 2025.

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Week 1 – Python Basics and Introduction to DataFrames

Mon Jun 30

LEC 1 Introduction, Expressions, and Data Types      

CIT 1.0-1.3, BPD 1-6

Keywords: data science, course structure, policies, syllabus, Little Women demo, variables, assignments, ints, floats
Tue Jul 1

LEC 2 Strings, String Methods, Lists, and Arrays   

BPD 8-9

Keywords: strings, lists, arrays

SUR Welcome Survey

Wed Jul 2

LEC 3 DataFrames, Indexing, Queries, Intro to Grouping   

Thu Jul 3

LAB 0 Expressions and Data Types

Fri Jul 4

No Lecture (Fourth of July 🎆)

Sun Jul 6

LAB 1 Arrays and DataFrames

Week 2 – Data Visualization and Probability

Mon Jul 7

LEC 4 Data Visualization and Distributions   

QUIZ 1 Quiz 1 covers Lectures 1-3

HW 1 Basic Python, Arrays, and DataFrames

Tue Jul 8

LEC 5, part 1 Histograms and Distributions   

LEC 5, part 2 Functions   

Wed Jul 9

LEC 6, Part 1 Applying

LEC 6, Part 2 Grouping on Multiple Columns, Merging

LAB 2 Data Visualizations and Python Functions

Fri Jul 11

LEC 7 Probability, Conditional Statements and Iteration

HW 2 DataFrames, Data Visualization, and Functions

Week 3 – Simulation, Sampling, Confidence Intervals, Midterm

Mon Jul 14

LEC 8 Simulation, Distributions and Sampling

QUIZ 2 Quiz 2 covers Lectures 4-7

LAB 3 DataFrames, Control Flow, and Probability

Tue Jul 15

LEC 9 Distributions and Sampling Continued, Bootstrapping and Confidence

HW 3 DataFrames, Control Flow, and Probability

Wed Jul 16

LEC 10 Confidence Intervals, Center and Spread, Midterm Review

Thu Jul 17

LAB 4 Simulation, Sampling, Bootstrapping

Fri Jul 18

EXAM Midterm Exam covers Lectures 1-8

Week 4 – The Normal Distribution, Central Limit Theorem, Hypothesis Testing

Mon Jul 21

LEC 12 Standardization and the Normal Distribution, Introduction to the Central Limit Theorem

QUIZ 3 Quiz 3 covers Lectures 8-10

HW 4 Simulation, Sampling, and Bootstrapping

Tue Jul 22

LEC 13 Central Limit Theorem Continued, Sample Sizes and Statistical Models

LAB 5 DataFrames, Control Flow, and Probability

Wed Jul 23

LEC 14 Hypothesis Testing

Fri Jul 25

LEC 15 Total Variation Distance and Permutation Testing

HW 5 The Normal Distribution and the Central Limit Theorem

Week 5 – Simulation, Sampling, and Confidence Intervals

Mon Jul 28

LEC 16 Permutation Testing Continued, Correlation

QUIZ 4 Quiz 3 covers Lectures 12-15

LAB 6 Hypothesis Testing

Tue Jul 29

LEC 17 Correlation Continued, Regression, and Least Squares

Wed Jul 30

LEC 18 Residuals and Inference

LAB 7 Regression

Hw 6 Hypothesis Testing and Permutation Testing

Fri Aug 1

LEC 19 Final Review

Sat Aug 2

EXAM Final Exam (8AM to 11AM)