1 CPE This course is focused on dealing with omitted variables problems that can result in inaccurate forecasts when using financial data. The focus of this module is on dealing with the problem of missing data; an issue that impacts almost all large scale Big Data projects.
***Please download and open all supporting materials before starting the course videos.***
Learning Objectives
Last updated/reviewed: March 20, 2024
Included In Certifications
This course is included in the following Certification Programs:
15 CoursesData Analytics Professional (DAP) Certification
- The Fundamentals of Business Intelligence (BI): What it Does and Why it's so Essential
- How is Industry Using Big Data? – A Case Study Reading
- Business Intelligence - Data Collection and Cleaning
- Business Intelligence - Structuring Data for Analysis
- Business Intelligence - Fundamentals of Data Analysis
- Business Intelligence - Using Big Data Analytics
- Doing Data Analytics In Excel (Hands-on module)
- Regressions in Excel (Hands-on module)
- Financial Forecasting
- Advanced Analytics – Omitted Variables
- Advanced Analytics – Fixed Effects
- Case Study in Data Analytics
- Using Regressions for Forecasting
- Financial Forecasting in Excel (Hands-on module)
- Blockchain for Business
31 Reviews (236 ratings)
Reviews
Anonymous
(Inventory Accounting Manager)
This course was challenging. If you don't have an understanding of regression models I wouldn't recommend it. However, that being said, I did learn information I didn't know and it kept me curious about predicting future outcomes and why you need to really pay attention to how statistics are presented. It provided a good discussion on biases related to omitted and irrelevant variables. Over all I learned more than I expected and it has made me curious about the courses related to analytics.
Anonymous
(Senior Associate)
The course was fairly easy to follow with the exception of module 5. It would have been more beneficial to see this done in excel since that is a common tool that the majority of the population has access to instead of Stata.
Anonymous
(Associate)
Would have preferred the STATA example to be in excel, but the lecturer's point about using the various underlying statistics to show the strength of the predictive model was helpful.
Anonymous
(Associate)
This course presented good, helpful information that I will use on daily basis. Additionally, the information was presented in a concise and well organized manner.
Anonymous
(senior tax associate)
This particular training had a lot of good information. I like keeping it simple with only diving into omission and irrelevant and the difference between the two.
Lawrence DeParis
(Founder & CEO at C-Level Solutions LLC)
The Stata demonstration in the final section was particularly beneficial, moving from theory into practice. Very worthwhile course and effective instructor.
Anonymous
(Owner)
I didn't expect it to be mathematical, like statistics. I expected it to have more examples to explain to an accountant how this works.
ERICA CARPER
(Controller at MWP)
Informative and easy to follow. Never having done a regression analysis, I learned a great deal with no confusion.
Anonymous
(Tax Associate)
Michael made advanced analytics easy to understand and provided great examples to help hammer home the material.
Anonymous
(Senior Auditor)
Having a good understanding of a process is instrumental in identifying omitted variables and reducing bias.
Anonymous
(Senior Associate)
This course helped me understand the impact that omitted variables can have on running relevant regressions.
Anonymous
(Associate)
It is interesting to learn about how to choose variables and how to look out for omitted variables.
Anonymous
(Senior Associate)
great course, keep it up on the good work! I like the examples of omitted variables in real world.
Martin Lau
(Programmer at Special Olympics)
Very useful course, I learned something from this course, which I didn't find from other courses.
Jeanne Chase
(Manager of Budget at EBMUD)
Emphasized importance of understanding bias an its impact on conclusions that could be drawn
Anonymous
(Consultant)
Statistics classes from college courses/credits were a theme here and good to revisit.
Anonymous
(Associate)
Course was informative and easy to navigate. I would recommend it to a colleague.
Anonymous
(Sr. Associate)
I thoroughly enjoyed this course and topics. Interesting and helpful course!
Anonymous
(Managing Director)
Module 5 was super helpful... more like this. The glossary is a bit skimpy.
Anonymous
(Senior Associate)
Great class, Michael. Good re-fresher from my Econometrics class in college
Rose Gingrich
(State Report at GCCS)
I liked this course, has a different level of difficulty but is really good
Anonymous
(Senior Associate)
Good course. Would recommend for any interested in regression analysis.
Anonymous
(Controller)
Good introduction and overview of variable and regression analysis.
Anonymous
(Data Scientist)
this was a good lesson with good documentation and was informative
Anonymous
(Corporate Auditor)
the final exam questions are not clearly addressed in the slides.
Anonymous
(International Tax Sr. Associate)
Great course, informative and easy to follow, great examples.
Anonymous
(Chief Financial Officer)
I thought that the course contained valuable information.
Anonymous
(Audit Services Manager)
Very good class, informative materials and well presented
Anonymous
(Tax Associate)
Good overview of omitted variables. Plenty of examples.
Anonymous
(Tax associate)
This was a great course for this topic and good slides
Paul Gallagher
(Tax Associate at Grant Thornton)
Everything about this course was absolutely fantastic.
Prerequisites
Course Complexity: Intermediate
Viewers should be familiar with basic financial and accounting concepts.
In addition, viewers should be familiar with Big Data and Business Intelligence, or review my existing courses on the topic.
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
.
Michael McDonaldPresident
About Illumeo
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