Chevron Left
Volver a Introduction to Accounting Data Analytics and Visualization

Opiniones y comentarios de aprendices correspondientes a Introduction to Accounting Data Analytics and Visualization por parte de Universidad de Illinois en Urbana-Champaign

398 calificaciones

Acerca del Curso

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)....

Principales reseñas


30 de may. de 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.


6 de nov. de 2021

I have learn a lot of solid knowledge about Data Visualization, Excel VBA, and programming hints from this course. I recommend this course to those who wants to skill up on Excel and Data analytic.

Filtrar por:

1 - 25 de 77 revisiones para Introduction to Accounting Data Analytics and Visualization

por Md. S I

7 de feb. de 2021

por Christopher A

28 de ago. de 2019

por Michael P

21 de feb. de 2020

por Alexander E

23 de may. de 2021

por Mak J W

16 de jun. de 2020

por Mok W Q R

4 de jul. de 2020

por Mark A

7 de jul. de 2021

por Zong H T

31 de may. de 2020

por Sheah D Z

12 de jun. de 2020

por Alison Z

8 de nov. de 2019

por Lim J H G

4 de jun. de 2020

por Amelia S

29 de jun. de 2020

por Anna K

4 de nov. de 2020

por Maria M S

4 de sep. de 2020

por Damien C L S

2 de jul. de 2020

por Gypsy G G

5 de ago. de 2020

por Bradford M

15 de jun. de 2022

por Maria M

27 de jun. de 2021

por Kan L

9 de jul. de 2020

por TAN W K

7 de jul. de 2020

por Kevin B

7 de sep. de 2021

por Dedunupiti G S K

19 de ago. de 2022


28 de jun. de 2022

por Badal S

13 de oct. de 2020

por Lim J N G

11 de ago. de 2020