Discounts are available for qualified Academic Programs requesting to take this course.
IDEA® Data Analysis Level 1 for Academics is a hands-on, two-day, comprehensive introductory course that will acquaint users with the IDEA platform’s functionality. This course is specifically designed with Academic Professors in mind.
Participants will have the opportunity to collaborate with other academic professionals taking the course, work with new data sets, and receive personalized support from the instructor relating to academic applications. Topics include, but are not limited to adding and manipulating fields, building equations, importing data, using multiple databases, reconciling data, identifying irregularities, isolating specific records, and sampling. Relevant real-world case studies
will also be shared.
Please contact us: [email protected] or 346-207-9982.
**Please note participants are required to be actively engaged in the class and complete coursework to qualify for CPE credit.**
| Course Level |
Beginner |
| Length |
Two days (16 CPE) |
| Field of Study |
Auditing |
| Delivery Method |
Group Internet Based |
| Prerequisites |
Working knowledge of Microsoft Windows® desktop environment and Microsoft Office® applications. No advanced preparation is required. |
- Collaborate with teammates or other industry professionals
- Earn up to 16 hours of NASBA CPE (8 hours per day)
- Course materials provide comprehensive, step-by-step instruction for reference including IDEA screenshots, tips and exercises to keep your skills sharp
- Public training courses help you work towards CaseWare Analytics IDEA Certification (CIDA)
- Gain skills and confidence using data analytics to conduct more efficient and effective audits
- Datasets to use in your classrooms
- Information about academic resources and websites
After completing this training, participants will be able to:
- Understand the basic features and functionality of the IDEA platform
- Determine what data is required, and how to obtain and import various types
- Effectively manage and use multiple databases(append and join databases
- Reconcile and examine data to search for outliers and potential fraud
- Isolate specific records for further investigation
- Profile data using stratification and summarization
- Identify irregularities including Duplicate Key and Gap Detection
- Apply commonly-used sampling techniques: systematic, random and stratified random
- Build equations to add virtual fields, filter, sort,and match data, automate repeatable processes
Audimation Services, Inc. is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of the continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website:
nasbaregistry.org
For concerns regarding course offerings, certifications or complaints, please contact:
Jennifer Ellison, Training Services Manager
[email protected]
832-327-2067
