This course is part of the Business Analytics Specialization

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Gies College of Business, University of Illinois

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Business Analytics SpecializationUniversity of Illinois at Urbana-Champaign

About this Course

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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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

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Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

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Course 6 of 6 in the

Business Analytics Specialization

Intermediate Level

Prior knowledge and experience with R and RStudio is assumed.

Approx. 13 hours to complete

English

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Skills you will gain

Natural Language Processing
robotic process automation
Analytics
Data Analysis
Accounting Analytics

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 6 of 6 in the

Business Analytics Specialization

Intermediate Level

Prior knowledge and experience with R and RStudio is assumed.

Approx. 13 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

5/5 (6 Ratings)

Gies College of Business, University of Illinois

73,457 Learners

21 Courses

Offered by

University of Illinois at Urbana-Champaign

Get a head start on your degree

This course is part of the Master of Business Administration (iMBA) from University of Illinois at Urbana-Champaign. If you are admitted to the full program, your coursework will count towards your degree learning and all of your progress will transfer with you.

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Syllabus - What you will learn from this course

Week1

Week 1

3 hours to complete

MODULE 1: SURVEY OF ANALYTICS TOPICS IN ACCOUNTING

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.

3 hours to complete

16 videos (Total 69 min), 5 readings, 2 quizzes

16 videos

Course Introduction3mAbout Professor Jessen Hobson1mLearn on Your Terms30s Survey of Analytics Topics in Accounting: Introduction1mAccounting is The Language of Business4mBasics of Accounting and Key Accounting Terms9mBasics of Accounting and Key Accounting Terms 25mAcademic Research in Accounting3mAccounting and Technology Overview3mTax Technology Overview3mTechnology in Managerial Accounting5mCybersecurity8mProcess Mining5mBlockchain for Accounting 15mBlockchain for Accounting 27mSurvey of Analytics Topics in Accounting: Conclusion1m

5 readings

Syllabus10mAbout the Discussion Forums10mLearn More About Flexible Learning Paths10mSurvey of Analytics Topics in Accounting: Overview10mSurvey of Analytics Topics in Accounting: Readings & Files10m

2 practice exercises

Orientation Quiz30mSurvey of Analytics Topics in Accounting: Graded Quiz30m

Week2

Week 2

4 hours to complete

MODULE 2: CONTROLS AND AUDITING

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.

4 hours to complete

18 videos (Total 148 min), 2 readings, 1 quiz

18 videos

Controls and Auditing: Introduction1mAudit Technology Overview7mReporting Pressures, Earnings Management and Reporting Fraud7mThe Fraud Triangle and Employee Fraud5mNeed for Controls, Definition of Controls, Introduction of Internal Audit4mIntroduction to The Case8mScreen Shot Solutions in Alteryx - ETL Part 19mScreen Shot Solutions in Alteryx - ETL Part 212mScreen Shot Solutions in Alteryx - EDA Part 111mScreen Shot Solutions in Alteryx - EDA Part 29mScreen Shot Solutions in Alteryx - Control Tests Part 112mScreen Shot Solutions in Alteryx - Control Tests Part 210mScreen Shot Solutions in RStudio - ETL, EDA, Control Tests Part 110mScreen Shot Solutions in RStudio - ETL, EDA, Control Tests Part 210mIntroduction to Alteryx6mInstalling and Getting Started with Alteryx8mAccessing and Installing R and RStudio6mControls and Auditing: Conclusion2m

2 readings

Controls and Auditing: Overview10mControls and Auditing: Readings & Files10m

1 practice exercise

Controls and Auditing: Graded Quiz1h 30m

Week3

Week 3

3 hours to complete

MODULE 3: TEXT PROCESSING AND ANALYSIS IN ACCOUNTING

3 hours to complete

11 videos (Total 83 min), 2 readings, 1 quiz

11 videos

Text Processing and Analysis in Accounting: Introduction2mDefinitions for Text Analysis and NLP (Natural Language Processing)4mText Analysis in Financial and Tax Accounting Part 111mText Analysis in Financial and Tax Accounting Part 27mText Analysis in Accounting6mCase Introduction4mNLP with Conference Calls Part 19mNLP with Conference Calls Part 210mNLP with Conference Calls Part 311mNLP with Conference Calls Part 414mText Processing and Analysis in Accounting: Conclusion1m

2 readings

Text Processing and Analysis in Accounting10mText Processing and Analysis in Accounting: Readings & Files10m

1 practice exercise

Text Processing and Analysis in Accounting: Graded Quiz1h

Week4

Week 4

4 hours to complete

MODULE 4: ROBOT PROCESS AUTOMATION IN ACCOUNTING

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.

4 hours to complete

14 videos (Total 114 min), 4 readings, 1 quiz

14 videos

Robot Process Automation in Accounting: Introduction3mIntroduction to Automation5mIntroduction to RPA8mThe Effect of RPA on Accounting7mIntroduction to UiPath16mHands on RPA Scraping 113mHands on RPA Scraping 28mHands on RPA Excel to Word 113mHands on RPA Excel to Word 29mHands on RPA Excel to Word 311mHands on RPA Excel to Word 47mRobot Process Automation in Accounting: Conclusion2mCourse Conclusion3mGies Online Programs3m

4 readings

Robotic Process Automation in Accounting: Overview10mRobot Process Automation in Accounting: Readings & Files10mCongratulations10mGet Your Course Certificate10m

1 practice exercise

Robot Process Automation in Accounting: Graded Quiz1h

Reviews

4.9

1 reviews

5 stars
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4 stars
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TOP REVIEWS FROM APPLYING DATA ANALYTICS IN ACCOUNTING

by IKOct 21, 2022

This course was beyond my expectations and i learned a lot from it. Thankyou GIES!

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About the Business Analytics Specialization

Our world has become increasingly digital, and business leaders need to make sense of the enormous amount of available data today. In order to make key strategic business decisions and leverage data as a competitive advantage, it is critical to understand how to draw key insights from this data. The Business Analytics specialization is targeted towards aspiring managers, senior managers, and business executives who wish to have a well-rounded knowledge of business analytics that integrates the areas of data science, analytics and business decision making.

The courses in this Specialization will focus on strategy, methods, tools, and applications that are widely used in business. Topics covered include: Data strategy at firms Reliable ways to collect, analyze, and visualize data–and utilize data in organizational decision making Understanding data modeling and predictive analytics at a high-level Learning basic methods of business analytics by working with data sets and tools such as Power BI, Alteryx, and RStudio Learning to make informed business decisions via analytics across key functional areas in business such as finance, marketing, retail & supply chain management, and social media to enhance profitability and competitiveness.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Applying Data Analytics in Accounting

About this Course

Skills you will gain

Instructor

Gies College of Business, University of Illinois

Offered by

University of Illinois at Urbana-Champaign

Get a head start on your degree

Syllabus - What you will learn from this course

MODULE 1: SURVEY OF ANALYTICS TOPICS IN ACCOUNTING

MODULE 2: CONTROLS AND AUDITING

MODULE 3: TEXT PROCESSING AND ANALYSIS IN ACCOUNTING

MODULE 4: ROBOT PROCESS AUTOMATION IN ACCOUNTING

Reviews

TOP REVIEWS FROM APPLYING DATA ANALYTICS IN ACCOUNTING

About the Business Analytics Specialization

Frequently Asked Questions

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Applying Data Analytics in Accounting

About this Course

Skills you will gain

Instructor

Gies College of Business, University of Illinois

Offered by

University of Illinois at Urbana-Champaign

Get a head start on your degree

Syllabus - What you will learn from this course

MODULE 1: SURVEY OF ANALYTICS TOPICS IN ACCOUNTING

MODULE 2: CONTROLS AND AUDITING

MODULE 3: TEXT PROCESSING AND ANALYSIS IN ACCOUNTING

MODULE 4: ROBOT PROCESS AUTOMATION IN ACCOUNTING

Reviews

TOP REVIEWS FROM APPLYING DATA ANALYTICS IN ACCOUNTING

About the Business Analytics Specialization

Frequently Asked Questions

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