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

4.8
stars
445 ratings

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

SD

Sep 1, 2020

I really enjoyed the course and the lecture was very interactive, clear & precise in such a way i felt i was in a classroom.

MP

Feb 20, 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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51 - 75 of 92 Reviews for Introduction to Accounting Data Analytics and Visualization

By Edmund K C H

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Jul 20, 2020

Enriching course that really helps brings new comers into the world of data analytics and visualization

By Muhammad A B A R

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Jun 25, 2020

It provides a lot of hands on example that really help with the explanation of the concepts taught

By Mutra T T W K

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Jul 16, 2020

Great overview of data analytics. Teaches you basic tools that can be useful for basic analysis.

By ANAND K

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Sep 20, 2022

Great course that gives full insight about what is financial analysis and visualisation.

By Loh D W

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May 27, 2020

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

By Kyoungmo K

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Oct 22, 2021

Great course to transform traditional mindset of accounting into data analytics

By yash s

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Nov 20, 2022

GOOD COURSE with basics explained first and teaching basic tools of analytics.

By kamndalira I P

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Dec 9, 2022

I learnt a lot how to use mathematical calculation to gain insight from data.

By Phoa J L

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May 31, 2020

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

By Deleted A

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Nov 20, 2023

I learn a lot about macros and vba, I hope I can use it into other projects

By Lim T F

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Aug 11, 2020

Fantastic course with many infomative videos which is really helpful.

By Zachary B

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Nov 1, 2022

Good pace and well rounded material with a good amount of challenge.

By Chow K M

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Jun 17, 2021

Great introduction to the basics of data analysis using Excel.

By Manmohan D

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Nov 10, 2021

Covered a wide range of topics in a brief and clear manner !

By Ouyang Y

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Jul 9, 2020

The course outline is clear and the contents are useful.

By CHEN Y

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Aug 2, 2022

It is a nice course. Intructions were delivered clearly

By Gilda H

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Nov 3, 2020

Great course, great professor, great learning platform.

By Samuel L K L

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Oct 3, 2020

Is something new and interesting for me. Thank you

By Shawn S W X

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Aug 12, 2020

Great course, very informative and detailed.

By Adis O

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Sep 29, 2025

Sangat bermanfaat dan menambah ilmu

By Nga P R K

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Aug 14, 2020

Very educational and eye-opening.

By CHEN Y

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Jul 21, 2020

useful and good interpretations

By عرفات ا

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Nov 11, 2022

لقد كانت دورة احترافية بامتياز

By Jim H

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May 12, 2022

Fantastic learning experience.

By Alejandra R

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Oct 14, 2020

Best class to take at UIUC!