Research Design and Applications for Data and Analysis

Data Science
201

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.

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
Mike Rivera
Assistant Professor of Practice
305B South Hall

Original Course Designers

Steven Weber
Professor of the Graduate School
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Alumni (PhD 2017)
Alumni (MIMS 2010)

Prerequisites

MIDS students only.

Requirements Satisfied

Applied Data Science Certificate — Introductory Data Science Course
Last updated: August 29, 2024