Data Science W201

Research Design and Applications for Data and Analysis

3 units

Course Description

Introduces the data sciences landscape, with a particular focus on learning data science techniques to uncover and answer the questions students will encounter in industry. Lectures, readings, discussions, and assignments will teach how to apply disciplined, creative methods to ask better questions, gather data, interpret results, and convey findings to various audiences. The emphasis throughout is on making practical contributions to real decisions that organizations will and should make.

Course must be taken for a letter grade to fulfill degree requirements.

Skill Sets

Research design / Question formulation / Data and decision making / Understanding cognitive bias / Data for persuasion and action / Integrating data and domain knowledge / Storytelling with data

Course Designers

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Steve Weber
Steven Weber
Faculty Director, Center for Long-Term Cybersecurity and Professor (I School and Dept. of Political Science)
203B South Hall

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Andy Brooks
Alumni (PhD 2017) Alumni (MIMS 2010)

Prerequisites

MIDS students only.

Video

datascience@berkeley | Research Design and Application for Data and Analysis

datascience@berkeley | Research Design and Application for Data and Analysis

Course History

Fall 2019

Instructor(s): Carlos Rivera
Instructor(s): Anna Zaitsev
Instructor(s): Anna Zaitsev
Instructor(s): Corey Jackson
Instructor(s): Corey Jackson
Instructor(s): Carlos Rivera
Instructor(s): Corey Jackson
Instructor(s): Michael Rivera
Instructor(s): Michael Rivera
Instructor(s): Michael Rivera

Summer 2019

Instructor(s): Michael Rivera
Instructor(s): Michael Rivera
Instructor(s): Corey Jackson
Instructor(s): Corey Jackson
Instructor(s): Michael Rivera

Project Gallery

Last updated:

September 19, 2019