Data Science 201
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.
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
Original Course Designers
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