Research Design and Applications for Data and Analysis

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.

Previously listed as DATASCI W201.

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

Current Course Designers

Steven Weber

Professor of the Graduate School

stevew@ischool.berkeley.edu

(510) 643-3755

Michael Rivera

Assistant Professor of Practice

michaelrivera@ischool.berkeley.edu

305B South Hall

Original Course Designers

Steven Weber

Professor of the Graduate School

stevew@ischool.berkeley.edu

(510) 643-3755

Andy Brooks

Alumni (PhD 2017)
Alumni (MIMS 2010)

andy@ischool.berkeley.edu

Website