Spring 2021
SOCIOL 88 001 - LEC 001
Data Science for Social Impact
David James Harding
Jan 19, 2021 - May 07, 2021
We
12:00 pm - 01:59 pm
Internet/Online
Class #:26483
Units: 2
Instruction Mode:
Pending Review
Offered through
Sociology
Current Enrollment
Total Open Seats:
8
Enrolled: 17
Waitlisted: 0
Capacity: 25
Waitlist Max: 10
No Reserved Seats
Hours & Workload
1 hours of instructor presentation of course materials per week, 5 to 4 hours of outside work hours per week, and 0 to 1 hours of the exchange of opinions or questions on course material per week.
Other classes by David James Harding
Course Catalog Description
This course explores the role of social research in policymaking and public decisions and develops skills for the communication of research findings and their implications in writing and through data visualization. Students will develop an understanding of various perspectives on the role that data and data analysts play in policymaking, learn how to write for a public audience about data, results, and implications, and learn how to create effective and engaging data visualizations.
Data Science Connector: This course builds on the Foundations of Data Science course by teaching more advanced data visualization skills and techniques, by providing an understanding of how data is used, and by teaching how to communicate about data in writing.
Class Description
This course explores the role of social research in policymaking and public decisions and develops skills for the communication of research findings and their implications in writing and through data visualization. Students will develop an understanding of various perspectives on the role that data and data analysts play in policymaking, learn how to write for a public audience about data, results, and implications, and learn how to create effective and engaging data visualizations.Prerequisite/Corequisite: This course is a Data Science Connector course and should be taken concurrently with or after COMPSCI C8 / DATA 8 / INFO C8 / STAT C8 (Foundations of Data Science).
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials