Data 100: Principles and Techniques of Data Science

UC Berkeley, Summer 2026

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Josh Grossman profile photo

Josh GrossmanHe/Him/His

data100.instructors@berkeley.edu

jdgg AT berkeley DOT edu

Sarah Kiefer profile photo

Sarah KieferShe/Her/Hers

data100.instructors@berkeley.edu

sarahkiefer AT berkeley DOT edu

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Schedule Jump to Current Week

Week 1

Mon, Jun 22
Homework 1 ReleasedPrerequisite Coding
Homework 1 ReleasedPrerequisite Math
Tue, Jun 23
Lecture 2EDA I
Wed, Jun 24
Lecture 3EDA II
Discussion 1Prerequisites
Thu, Jun 25
Lecture 4EDA III
Fri, Jun 26
Homework 1 DuePrerequisite Coding
Homework 1 DuePrerequisite Math

Week 2

Mon, Jun 29
Lecture 5EDA IV
Discussion 2EDA + Viz
Lab 2A Released[OPTIONAL] Pandas
Homework 2 ReleasedExploratory Data Analysis
Tue, Jun 30
Lecture 6Regex
Reading Note 6
Wed, Jul 01
Reading Note 7a, Note 7b
Thu, Jul 02
Lecture 8Sampling
Reading Note 8
Fri, Jul 03

Week 3

Mon, Jul 06
Reading Note 9
Homework 3 ReleasedNYT Articles
Tue, Jul 07
Reading Note 10
Wed, Jul 08
ExamMidterm 1 [Day 1]
Reading Note 11
Discussion 5SLR
Homework 4 ReleasedVisualization
Thu, Jul 09
ExamMidterm 1 [Day 2]
Fri, Jul 10
Homework 3 DueNYT Articles
Homework 5 ReleasedModeling

Week 4

Mon, Jul 13
Discussion 6Modeling and OLS
Lab 3 ReleasedRegex and EDA
Tue, Jul 14
Homework 4 DueVisualization
Wed, Jul 15
Discussion 7Gradient Descent
Thu, Jul 16
Lab 4 ReleasedVisualization, Transformations, and KDEs
Fri, Jul 17
Homework 5 DueModeling

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