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This course prepares participants to make more accurate financial forecasts in standard generally accepted accounting principles (GAAP) format financial statements by using business intelligence (BI). Particular focus is placed on the difference between conventional financial forecasts based on simple growth assumptions, and financial forecasts using growth rates derived from data. The course is intended as an applied primer in forecasting using new techniques resulting from the growth in Big Data and BI techniques.
***Please download and open all supporting materials before starting the course videos.***
Learning Objectives
- Discover how to create a basic set of income statement, cash flow, and balance sheet forecasts
- Recognize the linkages between different items across the financial statements
- Identify how changes in growth assumptions impact financial forecasts
- Explore how to use regression analysis to determine forecast growth rates using outside variables (e.g. Gross Domestic Product (GDP) and inflation)
Last updated/reviewed: March 15, 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
37 Reviews (235 ratings)
Reviews
Anonymous
(International Tax Sr. Associate)
The instructor was concise and to the point and used samples to illustrate his point. I like how this class is specifically only discusses the methodology and the principle behind regression. Can't wait to watch the Excel class of actual forecast modeling based on regression.
Anonymous
(Management Analyst)
The instructor was concise and to the point and used samples to illustrate his point. I like how this class is specifically only discusses the methodology and the principle behind regression. Can't wait to watch the Excel class of actual forecast modeling based on regression.
Anonymous
(Student)
The material was straight forward, and well explained. super helpful for anyone trying to build a forecasting model. I was not sure about where to start, but from watching the sales example, I am confident building a revenue forecast model for my internship.
Anonymous
(Director of Accounting)
For not having been in data/statistics for a good number of years, the presenter broke it down in a relatively easy to understand fashion without losing me in the weeds of all the mathematics. Great introductory course.
Anonymous
(Associate)
Straightforward course and covered the material. It felt like this unit should be closer to the beginning of the CDAP program because some of the topics were covered earlier.
Anonymous
(Senior Associate)
The course was a useful basic course covering forecasting and different regressions. It did seem to be highly repetitive of the earlier courses in this certification though.
Rose Gingrich
(State Report at GCCS)
Great course but was hard , new vocabulary and deep concepts.
I recommend this course to people that wants to learn.
Thank you instructor for your hard and great work
Anonymous
(Director - Technical Accounting)
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Anonymous
(Manager)
Overall good. Some repetition from prior courses but actually this one pulled together the earlier concepts and made them more relevant.
Ryan Henneberg
(Manager at Google)
A good overview course. I would have appreciated just a bit more info about how to interpret standard errors, t stats, p values, etc.
Anonymous
(Consultant)
This is a good overview. I wish there were a lot more time allotted to the use and example of different methods named in the course.
Anonymous
(Senior Auditor)
Detailed explanation was provided for the use of regression techniques for forcasting. The examples were clear and easy to follow.
Christopher Hole
(Director of Internal Audit at Roseburg Forest Products)
Nice introduction to using regression for financial forecasting. Really appreciated that the instructors quick pace.
Anonymous
(Tax Associate)
Michael was clear and concise in his delivery and I was able to follow along with ease and enjoyment.
Anonymous
(Consultant)
Used the excel examples and brought me back to statistics courses taken in continuing education.
Anonymous
(Senior Associate)
This course was informative and provided the basics beyond using regressions for forecasting.
Robert Storrick
(Senior Associate at Grant Thornton)
Great stuff as always, Michael. Loved the interactive nature of the video and the instruction.
Anonymous
()
good course. I would recommend this course. This course covers topics and explains each.
Devery Adair
(CFO at PLI Industries LLC)
Good overview of the types of analysis tools and examples for using regression analysis.
Anonymous
(Senior Associate)
Great class, pretty easy to navigate and follow along. would recommend to a colleague.
Anonymous
(Tax Associate)
I like the use of numerous examples. The extensive use of graphics is also helpful.
David Skipper
(Senior Associate at Grant Thornton Public Sector)
Great course, always insightful content. Learned a bunch of new regression material
Anonymous
()
I am really interested in learning how to apply these methods to my organization.
Anonymous
(Associate)
Course was informative and easy to navigate. I would recommend it to a colleague.
Anonymous
(Data Scientist)
this course had good material attached and was helpful in refreshing my memory
Diego Parra
(CFO at North Tarrant Infrastructure LLC)
Good course for starting to understand the use of regression for forecasting
Anonymous
(President)
Great overview of regression, its output, and how it can be applied.
Anonymous
(Tax associate)
I didn't find the slides to be as effective for this video and topic
Anonymous
(Sr. Associate)
I thought this course was extremely informative. Really enjoyed it.
TOMOAKI TOGO
( at Canadian Solar Japan)
very important course, very important course, very important course
Anonymous
()
Great "real-life" descriptions of complex mathematical concepts
Anonymous
(Senior Associate)
This course was great. The material was clear to understand.
Anonymous
(Staff Accountant)
Great course, always insightful content. Thank you Michael.
Anonymous
(Audit Services Manager)
Very good class, informative materials and well presented
Paul Gallagher
(Tax Associate at Grant Thornton)
Everything about this course was absolutely fantastic.
Anonymous
(Internal Audit Manager)
Good intro to basic statistical forecasting concepts.
Eugene Rura
(Manager Finance at Saputo DF USA)
Great first-time introduction course, basic level
Prerequisites
Course Complexity: Intermediate
Viewers should be familiar with basic financial and accounting concepts. At this point, participants in this course should be comfortable with gathering data, building databases, and running analyses.
Suggested Prior Coursework:
Business Intelligence (BI) - The fundamentals of BI; What it does and why it's so essential
Business Intelligence – Collecting, Cleaning, and Merging Data
Business Intelligence - Structuring Data for Business Analysis
Business Intelligence – Fundamentals of Data Analysis
Business Intelligence – Using Data Analysis
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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