This course is split into two week-long sessions. Participants can choose to sign up for one or both weeks.
Part I 8/21–8/25, 2017; 1:00 - 5:00 pm
- Coding and scripting basics
- Best practices in data science
- Version control using Git
- Workflow and RStudio, and
- How to find help
Part II 8/28–9/01, 2017; 1:00 - 5:00 pm
- The import-tidy-transform-visualize-model-communicate workflow
- The tidyverse suite of packages (dplyr, tidyr, ggplot2, and purrr)
- R Markdown
Tution (special initial offering rate):
Part I $125
Parts I & II $250Location: Portland State University, Urban Center, 506 S.W. Mill St., Room 303
Do you ever feel you are "drinking from a hose" with the amount of data you are attempting to analyze? Have you been frustrated with the tedious steps in your data processing and analysis process and thought, "There’s gotta be a better way to do things"? Are you curious what the buzz of data science is about? If any of your answers are yes, then this course is for you.
Offered for the first time in August 2017, the goal of this course is to empower students and practitioners to spend less time wrestling with software and more time doing useful research/work.
Professional credits are available. For more information, download the course syllabus.
Course Instructor: Liming Wang, Ph.D., Portland State University
Liming Wang is an assistant professor in PSU's Toulan School of Urban Studies & Planning. He teaches courses in Travel Demand Modeling, Transportation and Land Use, and Data Analysis Methods. His research takes a data-driven approach to address challenging issues in planning, in particular those intersecting land use and transportation. His recent research projects include data integration techniques for transportation and land use modeling, development and evaluation of comprehensive performance measures for transportation and land use systems, and regional strategic planning tools.