top of page


Data Analytics Foundations for Accountancy I

No Student Materials
Download Instructor Materials

You must be signed in to download materials.


Data Analytics Foundations for Accountancy I introduces students to the basic concepts needed to complete common data analytic tasks in accountancy and business in general. Students will learn to develop data analytic scripts by using the Python programming language and the standard data analytic Python modules, including Pandas, NumPy, SciPy, Matplotlib, and Seaborn. Module #1: Foundations Module #2: Introduction to Python Module #3: Introduction to Python Programming Module#4: Python Programming Module #5: Introduction to Data Persistence Module #6: Introduction to Data Analysis Module #7: Introduction to Visualization Module #8: Exploring Two-Dimensional Data


Robert Brunner

Associate Dean for Innovation and Chief Disruption Officer and Professor of Accountancy and Arthur Andersen Faculty Fellow

bottom of page