Session Overview
Data Analytics is changing the business world—data simply surrounds us! Between the industry demand for data analytics skills and new CPA requirements, it is vital that Accounting programs incorporate data analytics skills into their Accounting curriculum. Dedicated Data Analytics courses give students the needed foundation and skills in data analytics to prepare them for their future careers. Join our author team Vern Richardson, Ryan Teeter, and Katie Terrell during this webinar as they discuss where two specific courses fit into the Accounting curriculum, the resources available to teach these two dedicated courses, and how the innovative lab structure in each book provides hands-on experience with specific analytics techniques and technologies. Please attend to learn more about how to ensure student success post-graduation!
Join our Data Analytics for Accounting authors Vern Richardson, Ryan Teeter, and Katie Terrell as they share best practices and the most effective implementation strategies for teaching a dedicated Data Analytics course using their new textbook edition.
The author team will demonstrate different approaches to teaching the material, specific analytic techniques, and their new two-track lab approach (Excel/PowerBI or Tableau/Tableau Prep). Additionally, they will discuss managing student questions and issues, integrating McGraw Hill Connect® into your LMS, and utilizing software and data on the remote desktop at the University of Arkansas.
All these strategies support students as they develop the skills to ask the right questions, learn how to use the tools they will encounter in the workplace analyze data, and interpret results to make business decisions.
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Guest Speaker
Vernon Richardson, Distinguished Professor, University of Arkansas
Robert is a CFA holder and earned his doctorate degree from Queen’s University in 2017 where his research focused on financial stability and banking. He currently holds the position of assistant professor, teaching stream in the Department of Economics at York University where he teaches math and economics. He believes that applying the quantitative research techniques of economics to the classroom can improve the student experience.