Data Mining and Modeling
Discover hidden relationships and opportunities to improve financial performance. Learn how to analyze what’s happened and forecast what may happen.
Format
Online
NASBA Field of Study
Information Technology
Level
Basic
CPE Credits
3.5
Author(s)
AICPA and CIMA staff
Availability
1 year
Product Number
DAC2423SSO
Understand performance and make effective decisions
Data mining and modeling are valuable tools for understanding the drivers of current and past performance to help determine what might happen.
Get an introduction to key data concepts
This course will teach you not just the definitions of data mining and data modeling, but also what it takes to analyze large amounts of data to generate insights, build projections, and make better, more informed strategic decisions.
Recognize data mining and modeling approaches
You’ll learn how to better understand key data mining and modeling approaches, as well as how they can be used and evaluated. You’ll also learn how data analytics can be used to:
- Help mitigate risk
- Streamline business operations
- Personalize customer experiences
Real-world examples
This course is tailored specifically to accounting and finance professionals. It uses a mixture of real-world examples and case studies relevant to your role to give you different ways to understand and apply knowledge learned throughout the course.
This course is part four of the four-part Data Processing and Analysis Certificate.
Who Will Benefit
- AICPA & CIMA members who want to understand current and past performance to determine what might happen in the future
- Global accounting and finance professionals
- Controllers
- Finance directors
- CFOs
- CPAs
Key Topics
- Understanding the role of data mining and data modeling in a data analytics project
- Understanding data mining tools and techniques
- Understanding data modeling tools and techniques
- Understanding associated risks and considerations
Learning Outcomes
- Distinguish between data mining and related terms.
- Recognize the data analytics framework’s role in a data mining project.
- Identify the goals and benefits of data mining.
- Recognize the tasks associated with building a data mining model.
- Identify the concept of clustering as a descriptive data mining technique.
- Identify the appropriate data mining techniques and algorithms for predictive analytics.
- Recognize how clustering techniques can be applied in practice.
- Recognize how regression techniques can be applied in practice.
- Recognize tools and programs that can be used for data mining and modeling.
Group ordering for your team
2 to 5 registrants
Save time with our group order form. We’ll send a consolidated invoice to keep your learning expenses organized.
Start order6+ registrants
We can help with group discounts. Email client.support@aicpa-cima.com
US customers call 1-800-634-6780 (option 1)
The Association is dedicated to removing barriers to the accountancy profession and ensuring that all accountancy professionals and other members of the public with an interest in the profession or joining the profession, including those with disabilities, have access to the profession and the Association's website, educational materials, products, and services.The Association is committed to making professional learning accessible to all product users. This commitment is maintained in accordance with applicable law. For additional information, please refer to the Association's Website Accessibility Policy. As part of this commitment, this product is closed-captioned. For additional accommodation requests please contact adaaccessibility@aicpa-cima.com and indicate the product that you are interested in (title, etc.) and the requested accommodation(s): Audio/Visual/Other. A member of our team will be in contact with you promptly to make sure we meet your needs appropriately.