Course
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.
About this course
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
Author
How to cite
"Data Analytics Foundations for Accountancy I" by Robert Brunner. University of Illinois-Deloitte Foundation Center for Business Emerging Technologies. https://emergingtech.giesbusiness.illinois.edu/distributed-content/data-analytics-foundations-for-accountancy-i/. Licensed under CC BY-NC-SA 4.0.
Materials are shared under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license.