June 10-12 Short Courses
Web Scraping: Data Collection and Analysis
Dr. Richard Landers
Course Description
In this course, you will learn how to create novel datasets from information found for free on the internet using only R and your own computer. First, after a brief introduction to data source theory, web architecture, and web design, we will explore the collection of unstructured data by scraping web pages directly through several small hands-on projects. Second, we will explore the collection of structured data by learning how to send queries directly to service providers like Google, Facebook and Twitter via their APIs. Third, we will briefly explore analytic techniques for analyzing scraped data. Finally, we will walk through the various ethical and legal issues to be navigated whenever launching a web scraping project.
Event Information
June 10-12, 2024
Mon/Tues/Wed: Daily from 10:00 AM EDT – 4:00 PM EDT with a 30-minute lunch break and other breaks as needed.
CARMA’s Live Online Global Classroom
Meet the Instructor
Richard N. Landers, Ph.D., is the John P. Campbell Distinguished Professor of Industrial-Organizational Psychology at the University of Minnesota. He is Principal Investigator for TNTLAB (Testing New Technologies in Learning, Assessment and Behavior), where his research concerns the use of innovative technologies like games, gamification, machine learning, artificial intelligence, and virtual reality, to improve psychometric assessment, employee selection, adult learning, and research methods. He is a Fellow of the Society for Industrial and Organizational Psychology, American Psychological Association, and Association for Psychological Science. His work appears primarily in psychology journals, such as American Psychologist, Journal of Applied Psychology, Journal of Business and Psychology, Industrial and Organizational Psychology Perspectives, and Psychological Methods, and in interdisciplinary human-computer interaction outlets, including Computers in Human Behavior, International Journal of Human-Computer Studies and Simulation & Gaming. He currently serves as associate editor for the International Journal of Selection and Assessment, consulting editor for the Journal of Applied Psychology, and on the editorial board of Journal of Business and Psychology and Personnel Assessment and Decisions. He is author of a statistics textbook and has developed two edited scholarly volumes: Social Media in Employee Selection and the Cambridge Handbook of Technology and Employee Behavior. Dr. Landers maintains connections with industry, the media, and I-O practitioners. He is featured frequently in the popular press, such as Forbes, Business Insider, and Popular Science. He is a member of Aon’s scientific advisory board, and he regularly consults with industry as president of Landers Workforce Science LLC, primarily by auditing employee hiring systems incorporating artificial intelligence and machine learning.
Video Introduction
