This course explores business analytic applications in accounting. First, it presents a survey of technology topics in accounting, including process mining, blockchain and applications in audit, tax, and assurance. Next, the course explores visualization and basic analytics in audit and control testing using R and Alteryx. Next, the course examines the uses of text analysis in accounting and conducts text analysis using R and RStudio. Finally, the course examines robot process automation in general using UiPath and its applications in accounting.
Applying Data Analytics in Accounting
Applying Data Analytics in Accounting
This course is part of Business Analytics Specialization
Instructor: Gies College of Business, University of Illinois
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Gain insight into a topic and learn the fundamentals.
4.7
(57 reviews)
Intermediate level
Recommended experience
Flexible schedule
Approx. 14 hours
Learn at your own pace
Build toward a degree
What you'll learn
Understand analytic issues and topics in accounting.
Conduct audit and control testing tasks using Alteryx and R.
Analyze text using R.
Conduct accounting-related RPA processes.
Skills you'll gain
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Assessments
5 quizzes
Taught in English
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This course is part of the Business Analytics Specialization
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There are 4 modules in this course
In this module, we provide a broad overview of the role of accounting as it interacts with data analytics and new technological advances. We begin by understanding what accounting is and the environment surrounding it. We then introduce you to the recent trends in the technology of accounting. We conclude the module with a discussion of three important topics in accounting: cybersecurity, process mining, and blockchain.
What's included
16 videos6 readings2 quizzes1 discussion prompt1 plugin
This module introduces you to important concepts related to auditing. We begin by reviewing the different types of technology that can be used by the auditors to increase the effectiveness and efficiency of audits. We then examine how and why mistakes or fraud occur. We also discuss how internal controls can be placed to prevent misstatements. Finally, we demonstrate the control test workflow using a real-world dataset in both Alteryx Designer and RStudio.
What's included
18 videos2 readings1 quiz
Numbers are everywhere in the financial statements. However, accounting is also about more than numbers. In this module, we discuss how text in accounting disclosure and other accounting information can contain useful information. We also demonstrate how to implement a basic natural language processing (NLP) pipeline using R.
What's included
11 videos2 readings1 quiz
Accountants do many things that are standardized and mundane. This module introduces you to robotic process automation (RPA) that can be used to automate those routine tasks. We begin by looking at the definition of RPA and where it stands in the automation continuum. We then examine suitable tasks for RPA, steps in implementing RPA, and pros and cons associated with using RPA. We will also discuss the effect of RPA on accounting. We conclude the module with a demonstration of RPA using UiPath.
What's included
14 videos4 readings1 quiz1 plugin
Instructor
Instructor ratings
4.5 (17 ratings)University of Illinois Urbana-Champaign
22 Courses121,882 learners
Offered by
Recommended if you're interested in Business Strategy
Fundação Instituto de Administração
University of California, Irvine
Build toward a degree
This course is part of the following degree program(s) offered by University of Illinois Urbana-Champaign. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
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Showing 3 of 57
AN
5
Reviewed on Oct 20, 2024
Overall, I highly recommend the Applying Data Analytics in Accounting course to anyone who is interested in learning more about the use of data analytics in the accounting profession.
IK
5
Reviewed on Oct 20, 2022
This course was beyond my expectations and i learned a lot from it. Thankyou GIES!
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You will be eligible for a full refund until 2 weeks after your payment date. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the 2-week refund period. View our full refund policy.