Course #
49902
Section Number
1
Day(s)
M
-
Tu
-
W
-
Th
-
F
Time(s)
10:00am-11:30am
Term
Summer 2026
Instructor
Jinge Li
TA Session(s)
Syllabus
Syllabus 6/29/26

This course builds on “Data and Programming for Climate and Energy Policy” by developing students’ skills in data analysis and visualization, using Python. Topics will include the handling of “messy” real-world data, static and dynamic data visualization, spatial data analysis, and the production of high-quality reports.

Notes

MSCEP students only. Meets September 8 - September 25, 2026.

Course Sections

Quarter Course # Title Instructor Day(s) Time(s) Syllabus
Summer 2026 PPHA 49902/1 Data Analytics and Visualization for Climate and Energy Policy Jinge Li Monday, Tuesday, Wednesday, Thursday, Friday 10:00am-11:30am Syllabus

TA Sessions

Quarter Course # Title Instructor Day(s) Time(s) Syllabus
Summer 2026 PPHA 49902/1D01 Lab: Data Analytics and Visualization for Climate and Energy Policy Staff Monday, Tuesday, Wednesday, Thursday, Friday 1:00pm-2:00pm