PSTAT5A
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PSTAT 5A - Understanding Data
Statistics & Applied Probability
College of Letters and Science
Full Course Title
Understanding Data
Instructor Name(s)
STAFF
Course Description
Introduction to data science. Concepts of statistical thinking. Topics include random variables, sampling distributions, hypothesis testing, correlation and regression. Visualizing, analyzing and interpreting real world data using Python. Computing labs required.
Unit Value
5
Maximum number of times course can be repeated for additional credit
0
Maximum Units
5
Recommended Preparation
High school algebra.
Advisory Enrollment Comments
Not open for credit to students with Statistics AP Exam credit or students who have completed PSTAT 5LS or other introductory statistics courses.
Repeat Comments
Partial credit of 2 units will be given to students who have received credit for Econ 5 or PSTAT 109.
General Subject Areas
C
Special Subject Areas
QNT
Programs
PSTAT5A
is a
completion requirement
for: