PPD 504 Essential Statistics for Public Management
University of Southern California
University of Southern California
- Description: Learn how to use EXCEL to conduct statistical analysis.
- Offered: Spring 2023
PPD 558 Multivariate Statistical Analysis
University of Southern California
University of Southern California
- Description: Learn how to use STATA to conduct statistical and econometric analysis.
- Offered: Fall 2020; Fall 2021
PPD 570 Applied Statistics for Planning, Policy, and Management
University of Southern California
University of Southern California
- Course Description: Learn about various techniques for summarizing and analyzing data and for addressing public policy and management questions using statistical methods and tools including Microsoft Excel, RStudio, and Tableau.
- Offered: Fall 2022; Fall 2023
Computer Lab for PPD 570 Applied Statistics for Planning, Policy, and Management
University of Southern California
University of Southern California
- Course Description: Learn how to use SAS or R/RStudio and Microsoft Excel to wrangle, visualize, analyze data, interpret results, and solve policy-related, practical problems.
- Offered: Summer 2010-2014; Summer 2019; Fall 2019; Spring 2021
Python Lab Series for Master of Public Administration & Master of Public Policy
University of Southern California
University of Southern California
- Course Description: Learn how to use Python to wrangle, visualize, analyze data, interpret results, and solve policy-related, practical problems.
- Offered: Spring 2024
R Lab Series for Master of Public Administration & Master of Public Policy
University of Southern California
University of Southern California
- Course Description: Learn how to use R/RStudio to wrangle, visualize, analyze data, interpret results, and solve policy-related, practical problems.
- Offered: Spring 2019; Spring 2020, Spring 2023; Spring 2024
Boot Camp for Machine Learning
University of Southern California
University of Southern California
- Description: Learn how to use Python to conduct supervised learning, unsupervised learning, and deep learning tasks.
- Offered: Fall 2019