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

Ye Joo Park
English
پښتو, বাংলা, اردو, 3 more
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
This course includes:
6.8 Hours PreRecorded video
5 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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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
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
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.
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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.

