Principles of Data Science

DSC 10, Summer 2026 at UC San Diego

Vrinda Desai
she/her

Lecture(s): MW 11AM-1:50PM in HDSI 355 or on ZOOM

Welcome to DSC 10! Make sure to read this website thoroughly and complete the items in the Getting Started checklist.

Our first lecture will be held on Monday, June 29th at 11:00 AM in HDSI 355 and over Zoom.

Discussion will meet immediately after lecture over Zoom.

Jump to the current week

Week 1 – Python Basics and DataFrames

Mon Jun 29

LEC 1 Introduction

CIT 1.0-1.3

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

LEC 2 Expressions and Data Types

BPD 1-6

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

LEC 3 Strings, Lists, and Arrays

BPD 7-8, 14.1

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

DISC 1 Getting Started with Jupyter Notebooks

Tue Jun 30

LAB 0 Expressions and Data Types

SUR Welcome Survey

SYL Syllabus Check

Wed Jul 1

LEC 4 Arrays and DataFrames

BPD 9

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

LEC 5 Querying and Grouping

BPD 10-11

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

LEC 6 Grouping and Data Visualization

CIT 7.0-7.1

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

DISC 2 Arrays and DataFrames

Thu Jul 2

LAB 1 Arrays and DataFrames

PRE Pretest

Fri Jul 3

HW 1 Basic Python, Arrays, and DataFrames

Week 2 – Functions, Control Flow, and Probability

Mon Jul 6

LEC 7 Distributions and Histograms

CIT 7.2-7.3

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

LEC 8 Functions and Applying

BPD 6, 12

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

LEC 9 Grouping on Multiple Columns, Merging

BPD 11, 13

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

DISC 3 Querying, Grouping, and Plotting

QUIZ 1 Quiz 1 covers Lectures 1-6

Tue Jul 7

LAB 2 Data Visualizations and Functions

Wed Jul 8

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

LEC 11 Probability

CIT 9.5

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

LEC 12 Simulation

CIT 9.3-9.4

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

DISC 4 Functions, DataFrames, and Control Flow

HW 2 DataFrames, Data Visualization, and Functions

Thu Jul 9

LAB 3 DataFrames, Control Flow, and Probability

Fri Jul 10

HW 3 DataFrames, Control Flow, and Probability

Week 3 – Sampling and Midterm

Mon Jul 13

LEC 13 Distributions and Sampling

CIT 10.0-10.4

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

LEC 14 Bootstrapping and Confidence Intervals

CIT 13.0-13.2

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

REV Review

DISC 5 Probability and Simulation

Wed Jul 15

EXAM Midterm Exam covers Lectures 1-12

Fri Jul 17

LAB 4 Simulation, Sampling, & Bootstrapping

Week 4 – Normal Distribution and Hypothesis Testing

Mon Jul 20

LEC 15 Confidence Intervals, Center, and Spread

CIT 13.3-13.4

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

LEC 16 Standardization and the Normal Distribution

CIT 14.2-14.3

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

LEC 17 The Central Limit Theorem

CIT 14.4-14.5

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

DISC 6 Sampling, Bootstrapping, and Confidence Intervals

PROJ Midterm Project

Tue Jul 21

HW 4 Simulation, Sampling, & Bootstrapping

Wed Jul 22

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

LEC 19 Hypothesis Testing

CIT 11.3

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

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 7 The Normal Distribution and the CLT

Thu Jul 23

LAB 5 Variability and the Normal Distribution

Fri Jul 24

HW 5 The Normal Distribution and the Central Limit Theorem

Week 5 – Prediction and Final Exam

Mon Jul 27

LEC 21 TVD, Hypothesis Testing, and Permutation Testing

CIT 12.0-12.1

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

LEC 22 Permutation Testing

CIT 12.3

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

LEC 23 Correlation

CIT 15.0-15.2

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

DISC 8 Hypothesis Testing and Permutation Testing

Tue Jul 28

LAB 6 Hypothesis Testing

Wed Jul 29

LEC 24 Regression and Least Squares

CIT 15.2-15.4

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

LEC 25 Residuals and Inference

CIT 15.5-16.3

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

REV Review

DISC 9 Regression

HW 6 Hypothesis Testing and Permutation Testing

Thu Jul 30

LAB 7 Regression

Fri Jul 31

EXAM Final Exam