55 Enrolled
1 Hour (On-Demand)
CPE Not Available
more
Michael McDonald, President
Michael is an associate with TRI Corporation, a training firm focused on cross functional and financial training doing work for Fortune 500 firms and holds a PhD in finance from the University of Tennessee.
This instructor has 32 courses »To Access This Course:
This course is the first hands-on module in the sequence giving participants experience in building a dataset and running statistical analysis using regressions through Excel.
Learning Objectives
- Discover how to gather data via the Federal Reserve’s Excel Add-in
- Recognize the basic structure of datasets in Excel
Last updated/reviewed: June 12, 2021
7 Reviews (21 ratings)Reviews
Don Wademan
(CFO at Garner Industries)
Great introduction to tools available, however, would have expected more coverage on the actual data regression topic itself vs. all of the data gathering process.
Devery Adair
(CFO at PLI Industries LLC)
This course had good examples for understanding what is available to perform data analysis and how and why the different tools are used.
Anonymous
(Financial Analyst)
A little more generic than expected, although I did not previously know what exponential smoothing was and when it could be used.
Thabit Ndilahomba
(Head of Finance at Brac)
excellent presentantion please keep on sharing good stuff like this
Anonymous
()
Course wan't what I was expecting, but it was a good introduction.
Leonard Sloane
(Chief Operating Officer at New York Mobile Satellite, LLC)
The video screens were not clear on a few of the presentations.
Anonymous
(President)
I was not aware of the FRED add-in for Excel.
Prerequisites
Course Complexity: Intermediate
Viewers should have completed all prior modules in the certification program before advancing to the hands on portion.
Education Provider Information
Company:
Illumeo, Inc., 75 East Santa Clara St., Suite 1215, San Jose, CA 95113
Contact:
For more information regarding this course, including complaint and cancellation policies, please contact our offices at (408) 400- 3993 or send an e-mail to .