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Learner Reviews & Feedback for Introduction to Accounting Data Analytics and Visualization by University of Illinois at Urbana-Champaign

4.9
stars
21 ratings
4 reviews

About the Course

Accounting has always been about analytical thinking. From the earliest days of the profession, Luca Pacioli emphasized the importance of math and order for analyzing business transactions. The skillset that accountants have needed to perform math and to keep order has evolved from pencil and paper, to typewriters and calculators, then to spreadsheets and accounting software. A new skillset that is becoming more important for nearly every aspect of business is that of big data analytics: analyzing large amounts of data to find actionable insights. This course is designed to help accounting students develop an analytical mindset and prepare them to use data analytic programming languages like Python and R. We’ve divided the course into three main sections. In the first section, we bridge accountancy to analytics. We identify how tasks in the five major subdomains of accounting (i.e., financial, managerial, audit, tax, and systems) have historically required an analytical mindset, and we then explore how those tasks can be completed more effectively and efficiently by using big data analytics. We then present a FACT framework for guiding big data analytics: Frame a question, Assemble data, Calculate the data, and Tell others about the results. In the second section of the course, we emphasize the importance of assembling data. Using financial statement data, we explain desirable characteristics of both data and datasets that will lead to effective calculations and visualizations. In the third, and largest section of the course, we demonstrate and explore how Excel and Tableau can be used to analyze big data. We describe visual perception principles and then apply those principles to create effective visualizations. We then examine fundamental data analytic tools, such as regression, linear programming (using Excel Solver), and clustering in the context of point of sale data and loan data. We conclude by demonstrating the power of data analytic programming languages to assemble, visualize, and analyze data. We introduce Visual Basic for Applications as an example of a programming language, and the Visual Basic Editor as an example of an integrated development environment (IDE)....

Top reviews

CA

Aug 28, 2019

Excellent content! Instructor was amazing...interesting and comprehensive. Assignments were excellent as well, though peer-review was impossible because no one kept up with me in the course.

MP

Feb 21, 2020

Excellent course, well structured, taught by a subject matter expert, suitable for individuals with executive background as well as middle-level and junior learners. Highly recommended.

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1 - 7 of 7 Reviews for Introduction to Accounting Data Analytics and Visualization

By Michael P

Feb 21, 2020

Excellent course, well structured, taught by a subject matter expert, suitable for individuals with executive background as well as middle-level and junior learners. Highly recommended.

By Alison Z

Nov 08, 2019

one of most insightful data analytics courses from the finance perspective, very good intro coursera for both business professional and IT professionals

By Zong H T

May 31, 2020

I think that the course is interesting and the pace is comfortable to learners. I just wish that that can be more practice and pdf/word docs of lecture notes to make the content more organised. Kepp up the good work!

By Yeo Z H

May 31, 2020

It teaches us the basics of data analytics and it is very progressive. There are assignments to help us understand and practice the methods being taught. This allows us to have first-hand experiences.

By Christopher A

Aug 28, 2019

Excellent content! Instructor was amazing...interesting and comprehensive. Assignments were excellent as well, though peer-review was impossible because no one kept up with me in the course.

By Loh D W

May 27, 2020

Interesting course for students willing to learn more about analytics for accounting

By Phoa J L

May 31, 2020

A course with an excellent overview of data analytics suitable for beginners.