Statistics & Applied Probability - PSTAT

Overview and use of data science tools in R and/or Python for data retrieval, analysis, visualization, reproducible research, and automated report generation. Case studies will illustrate the practical use of these tools.

Prerequisites: PSTAT 131 or PSTAT 231 or Computer Science 165B; and Computer Science 9 or Computer Science 16. A minimum letter grade of C or better must be earned in each course.


PSTAT 234
17 / 30 Enrolled
Statistical Data Science
Sang-Yun Oh 2.3 Katie Coburn 3.4
T R
15:30 PM - 16:45 PM
85.1% A