Courses

Graduate and Professional Programs

Berkeley offers a variety of opportunities for graduate students, including master's programs, PhD programs with data science emphases, and training programs.

Spring 2018 Courses


Foundations Title Course Number Times & Location Description Instructor Units Foundations of Data Science (Data 8)

CS/ INFO/ STAT C8

CCN: 31678

MWF

10 - 11 am

Wheeler 150

Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-...

Summer 2017 Courses

Title Course number Days and Times Description Instructor Units Foundations of Data Science

CS/ INFO/ STAT C8

CCN: 15960

Summer Session B

(6/19-8/11)

Mo-Thu 11-12; Fri
10-12

Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer...

Rediscovering Texts as Data

Instructors: Chris Hench & Claudia von Vacano

Time: M 4-6

Room: 458 Evans

Humanists have traditionally emphasized the ‘close reading’ of a text, where the value is placed on the nuances of specific passages. The increasing amount of digital text being published and archived affords us an opportunity to read the text differently—as data on a scale larger than ever before. This ‘distant reading’ approach (mediated through the computer) complements our ‘close reading’ by...

Behind the Curtain in Economic Development

Instructor: Eric VanDusen

Time: M 2-4

Room: 105 Cory

This class will give students hands on experience looking at how data is gathered for analysis and provide context for the use of data for studying applied issues in economic development. The background will be a set of policy questions from a field study in rural Kenya on child health and clean drinking water. (Time permitting we may also look at some applications from California and rural Mexico.) The class will look at methods in sampling,...

Web Data Visualization

Instructor: Yasmin AlNoamany

TIme: Tu 12-2

Room: 105 Cory

The course introduces students to Web science with a focus on how the Web works, types of Web data, and how to generate effective visualizations for Web data (e.g., social networks). The course covers basic principles and tools for understanding and visualizing Web data. It focuses heavily on project work that aims to give students hands-on experience with handling Web data. Because web science is interdisciplinary by nature, this course connects students...

Demography 88 - Data Science and Immigration 1950-present

Instructor: Carl Mason

Semester: Fall 2017

Official Course Page: http://courses.demog.berkeley.edu/mason88/

Humans are a migratory species like no other. As hunter-gatherers, humans migrated from East Africa to every currently inhabited place on earth--except for a few Pacific Islands and that research station in Antarctica. During modern times humans continue to migrate in astounding numbers from poor countries to rich countries; from rural...

Rediscovering Texts as Data

Humanists have traditionally emphasized the ‘close reading’ of a text, where the value is placed on the nuances of specific passages. The increasing amount of digital text being published and archived affords us an opportunity to read the text differently—as data on a scale larger than ever before. This ‘distant reading’ approach (mediated through the computer) complements our ‘close reading’ by providing a broader context for interpretation previously inaccessible. It also allows us to quantify and model language, such as words in novels or syllables in poetry, to uncover hidden...