Principles of Data Science

DSC 10, Spring 2025 at UC San Diego

Janine Tiefenbruck
she/her

Lecture(s): (A) MWF 9-9:50AM, (B) MWF 11-11:50AM in Solis 104

The Final Exam is this Saturday, June 7th from 11:30AM to 2:30PM in CENTER 101.
Earn 1 participation point by filling out both SETs and the internal End-of-Quarter Survey before Saturday, June 7th at 8AM.

Jump to the current week

Week 1 – Python Basics

Mon Mar 31

LEC 1 Introduction

CIT 1.0-1.3

Keywords: data science, course structure, policies, syllabus, Little Women demo

Wed Apr 2

LEC 2 Variables and Data Types

BPD 1-6

Keywords: Jupyter notebooks, expressions, variables, assignment, functions, int, float

DISC 1 Getting Started with Jupyter Notebooks

Thu Apr 3

SUR Welcome Survey

SYL Syllabus Check

PRE Pretest

Fri Apr 4

LEC 3 Lists and Arrays

BPD 7-8, CIT 14.1

Keywords: string methods, mean, median, lists, arrays, array arithmetic

Sat Apr 5

LAB 0 Expressions and Data Types

Week 2 – DataFrames

Mon Apr 7

LEC 4 DataFrames

BPD 9

Keywords: array methods, np.arange, .read_csv, .get, .assign, .sort_values, .iloc, .loc, index

Wed Apr 9

LEC 5 Querying and Grouping

BPD 10-11

Keywords: .set_index, Booleans, querying, .shape, &, |, .take, .groupby, aggregation

DISC 2 Arrays and DataFrames

Thu Apr 10

LAB 1 Arrays and DataFrames

Fri Apr 11

LEC 6 Data Visualization

CIT 7.0-7.1

Keywords: .groupby, numerical vs. categorical, scatter plot, line plot, bar chart

Week 3 – Data Visualization and Functions

Mon Apr 14

LEC 7 Distributions and Histograms

CIT 7.2-7.3

Keywords: distributions, density histograms, binning, total area, overlaid plots

DISC 3 Querying, Grouping, and Plotting

HW 1 Basic Python, Arrays, and DataFrames

Wed Apr 16

LEC 8 Functions and Applying

BPD 6, 12

Keywords: functions, arguments, print vs. return, .apply, .reset_index

QUIZ 1 Quiz 1 covers Lectures 1-5

Thu Apr 17

LAB 2 Data Visualizations and Python Functions

Fri Apr 18

LEC 9 Grouping on Multiple Columns, Merging

BPD 11, 13

Keywords: .groupby([col_1, col_2, …]), subgroups, MultiIndex, .merge, number of rows

Week 4 – Control Flow and Probability

Mon Apr 21

LEC 10 Conditional Statements and Iteration

CIT 9.0-9.2

Keywords: in, not, and, or, if, else, elif, for-loops, np.append, accumulator pattern

DISC 4 Functions, DataFrames, and Control Flow

HW 2 DataFrames, Data Visualization, and Functions

Wed Apr 23

LEC 11 Probability

CIT 9.5

Keywords: event, conditional prob., multiplication and addition rules, independence

QUIZ 2 Quiz 2 covers Lectures 6-9

Thu Apr 24

LAB 3 DataFrames, Control Flow, and Probability

Fri Apr 25

LEC 12 Simulation

CIT 9.3-9.4

Keywords: np.random.choice, replacement, np.count_nonzero, coin flipping, Monty Hall

Week 5 – Simulation, Sampling, and Confidence Intervals

Mon Apr 28

LEC 13 Distributions and Sampling

CIT 10.0-10.4

Keywords: probability vs. empirical distribution, SRS, .sample, parameter, statistic

DISC 5 Probability and Simulation

HW 3 DataFrames, Control Flow, and Probability

SUR Mid-Quarter Survey

Wed Apr 30

REV Midterm Review

Fri May 2

EXAM Midterm Exam covers Lectures 1-12

Week 6 – Midterm Exam and the Normal Distribution

Mon May 5

LEC 14 Bootstrapping and Confidence Intervals

CIT 13.0-13.2

Keywords: inference, bootstrapping, resample, np.percentile, confidence interval

PROJ Midterm Project

Wed May 7

LEC 15 Confidence Intervals, Center, and Spread

CIT 13.3-13.4

Keywords: interpreting CIs, robust vs. sensitive, center, standard deviation, Chebyshev

DISC 6 Sampling, Bootstrapping, and Confidence Intervals

Thu May 8

LAB 4 Simulation, Sampling, and Bootstrapping

Fri May 9

LEC 16 Standardization and the Normal Distribution

CIT 14.2-14.3

Keywords: Chebyshev, standard units, normal distribution, CDF, inflection points

Week 7 – Central Limit Theorem

Mon May 12

LEC 17 The Central Limit Theorem

CIT 14.4-14.5

Keywords: distribution of the sample mean, square root law, CLT-based CIs

DISC 7 Standardization and the Normal Distribution

HW 4 Simulation, Sampling, and Bootstrapping

Wed May 14

LEC 18 Choosing Sample Sizes, Statistical Models

CIT 14.6, 11.1

Keywords: standard deviation of 0s and 1s, np.random.multinomial, Robert Swain jury

QUIZ 3 Quiz 3 covers Lectures 13-16

Thu May 15

LAB 5 Variability and the Normal Distribution

Fri May 16

LEC 19 Hypothesis Testing

CIT 11.3

Keywords: null and alternative hypotheses, test statistic, fair or unfair coin

Week 8 – Hypothesis and Permutation Testing

Mon May 19

LEC 20 Hypothesis Testing and Total Variation Distance

CIT 11.2, 11.4

Keywords: fair or unfair coin, p-value, midterm exam scores, Alameda County jury, TVD

DISC 8 The Central Limit Theorem and Hypothesis Testing

HW 5 The Normal Distribution and the Central Limit Theorem

Wed May 21

LEC 21 TVD, Hypothesis Testing, and Permutation Testing

CIT 12.0-12.1

Keywords: confidence intervals for hypothesis testing, body temperature, smoking/babies

QUIZ 4 Quiz 4 covers Lectures 17-20

Thu May 22

LAB 6 Hypothesis Testing

Fri May 23

LEC 22 Permutation Testing

CIT 12.3

Keywords: smoking/babies, np.random.permutation, shuffling, Deflategate

Week 9 – Prediction

Mon May 26

No Lecture (Memorial Day)

Tue May 27

HW 6 Hypothesis Testing and Permutation Testing

Wed May 28

LEC 23 Correlation

CIT 15.0-15.2

Keywords: association, correlation coefficient (r), predicting heights, regression line (su)

DISC 9 Total Variation Distance and Permutation Testing

Fri May 30

LEC 24 Regression and Least Squares - NO LIVE LECTURE

CIT 15.2-15.4

Keywords: regression line in original units, outliers, errors, RMSE, best fit, least squares

Sat May 31

LAB 7 Regression

Week 10 – Review

Mon Jun 2

LEC 25 Residuals and Inference

CIT 15.5-16.3

Keywords: residuals, residual plots, patterns, datasaurus dozen, prediction intervals

QUIZ 5 Quiz 5 covers Lectures 21-24

Wed Jun 4

REV Final Review

PROJ Final Project

DISC 10 Regression

Fri Jun 6

REV Review, Conclusion

Sat Jun 7

EXAM Final Exam (11:30AM to 2:30PM)

SUR SETs and End-of-Quarter Survey (due 8AM)