Description
Please note: This course will expire on Wednesday, April 30, 2025 at 11:59 pm ET. Please complete the course AND submit credit before the deadline.
For licensing purposes, all CPE applies to the calendar year in which a course was taken and completed.
Save a copy of your Certificate of Completion for your records. Once submitted, your CPE hours will also reflect in your official CPE transcript.
Through case studies and discussion, this course will explore what data analytics is and how to approach it. Participants will be given scenarios in which to think about the data available, and how it can be applied within specific company contexts. The focus of the course will be on how to approach big data, data analytics, and data integrity, so that participants can better utilize the data available to them in their current working lives.
Objective
* Differentiate between data analytics and data mining * List the different types and dimensions of data * List the different types of data inquiries that one can make * Describe how to maintain data integrity in a corporate environment * Describe how data can be manipulated by end-users * Define the concept of data governance * Describe how companies may utilize data in the future
Credit Types
- Information Technology: 1.5
Event Speaker(s)
- CPE Select
Registration Fees
Registration | Type | Price |
---|---|---|
On Demand - CPESelect (2 hours) | CPE Select | $0.00 |
On Demand - CPESelect (2 hours) | Members | $95.00 |
On Demand - CPESelect (2 hours) | Non Members | $120.00 |

For information regarding refund, complaint, program cancellation or other policies, visit our Registration Policies page or call 800-469-1352.