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Applying Data Analytics in Accounting

This course is part of Business Analytics Specialization.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Business Analytics Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.8

(44 ratings)

7,461 already enrolled

Instructors:

Kimberly Mendoza

Kimberly Mendoza

Ye Joo Park

Ye Joo Park

English

پښتو, বাংলা, اردو, 3 more

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Applying Data Analytics in Accounting

This course includes

12 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Apply data analytics tools in accounting contexts

  • Implement robotic process automation for accounting tasks

  • Perform text analysis on financial documents

  • Use visualization tools for audit and control testing

  • Understand blockchain and cybersecurity in accounting

Skills you'll gain

Data Analytics
Robotic Process Automation
Natural Language Processing
Accounting Analytics
Blockchain
Cybersecurity
Process Mining
Control Testing
Text Analysis
Audit Technology

This course includes:

6.8 Hours PreRecorded video

5 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

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There are 4 modules in this course

This comprehensive course explores the intersection of data analytics and accounting, covering four key areas: technology trends in accounting, visualization and analytics in audit testing, text analysis for financial documents, and robotic process automation. Students learn practical applications using tools like R, Alteryx, and UiPath while exploring modern accounting concepts including blockchain, cybersecurity, and process mining. The curriculum combines theoretical knowledge with hands-on practice in analyzing financial data and automating accounting processes.

Survey of Analytics Topics in Accounting

Module 1 · 3 Hours to complete

Visualization for Controls and Auditing

Module 2 · 3 Hours to complete

Automation in Accounting

Module 3 · 3 Hours to complete

Data Governance

Module 4 · 3 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Business Analytics Specialization

Instructors

Kimberly Mendoza

Kimberly Mendoza

4.4 rating

21 Reviews

21,605 Students

3 Courses

Instructor

Kimberly Mendoza teaches "Applying Data Analytics in Accounting" and "Machine Learning Algorithms with Python in Business Analytics" at the University of Illinois Urbana-Champaign. Her courses help learners master analytics, auditing, automation in Python, and machine learning techniques for business. Kimberly focuses on equipping professionals with practical, hands-on skills to analyze data, manage quality, and drive insight for real-world business and accounting challenges.

Ye Joo Park

Ye Joo Park

4.4 rating

21 Reviews

9,409 Students

1 Course

Instructor

Ye Joo Park co-teaches "Applying Data Analytics in Accounting" at the University of Illinois Urbana-Champaign, focusing on the integration of emerging technologies, automation, and analytics in the accounting field. The course covers process mining, text analysis, internal control testing with Python, automation tasks, and data governance. Ye Joo Park empowers learners to develop practical skills in modern accounting, making data-driven decisions and maintaining rigorous standards for data integrity and security.

Applying Data Analytics in Accounting

This course includes

12 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.