.5 CPE This course prepares participants to review, analyze, and make decisions based on results from business intelligence projects. The course covers reading and interpreting regression analysis. The course also gives participants the skills to critically analyze and identify potential limitations on analysis. The course also covers predicting changes in business outcomes based on analysis and identifying the level of certainty or confidence around those predictions. This paves the way for future detailed courses in predictive analytics.
***Please download and open all supporting materials before starting the course videos.***
Learning Objectives
- Recognize univariate statistics and differences between statistics
- Recognize coefficients on regression analysis
- Identify precision of coefficient estimates based on confidence intervals
- Identify driving factors of a business outcome based on statistical significance
- Recognize the differences between statistically and economically significant coefficients
- Explore limitations on specific statistical tests used in business intelligence
Last updated/reviewed: August 13, 2023
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- 2. Corporate Cash Investment Strategies
- 3. Advanced Analytics – Omitted Variables
- 4. Using Fiscal Analytics to Identify Opportunities to Improve Cash Flow and Profitability
- 5. Cash and Credit Management: The Lifeblood of the Business
- 6. Advanced Analytics – Fixed Effects
- 7. Mastering the Sales Forecast: Driving Sales Results through Better Pipeline Data and Process
- 8. How to Report to a Not-for-Profit Board
- 9. Funding Growth
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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
60 Reviews (401 ratings)
Reviews
Cynthia Lam
(Executive Director, Corporate Controller at CytomX Therapeutic Inc)
It is a good overview of data analysis and I particularly like to see how the excel analysis is performed and how to interpret that result. However, a quick walkthrough of each of the three tables in the Summary Output from the Regression Analysis would be helpful. It seems that you will need to have the basic knowledge of business statistics to make the most of the course.
Anonymous
(CFO)
This was simple straight forward overview of the subject with a great simple illustration. We didn't get muddled down in the details of the illustrations. Really like the fact that the notes and examples were used effectively in the course.
Great job making a simple example explain many different issues with analyzing data. I particularly appreciated the Economic Significance section that went beyond just running the numbers.
Michael Zomber
( at MOCFS)
Excellent course. Well presented, clear and concise. The professor does a great job of introducing students to the basics of multivariate analysis and regression.
Anonymous
(senior tax associate)
I thought this course was good because the example was very illustrative. It was a relatable example and had easy to explain instances and a small sample size.
Anonymous
(Senior Tax Associate)
This class was informative and beneficial to my progression as a professional. I would like to thank you for taking the time to teach me. Thank you.
Philip Wilson
(Data Scientist at Grant Thornton)
I'm not sure if I understand why the median is completely separated from any effect of outliers will have on data, that could be explained better
Eugene Rura
(Manager Finance at Saputo DF USA)
Excellent quick overview of the various statistical methods, although the name is slightly misleading, this has nothing to do with Big Data
Rose Gingrich
(State Report at GCCS)
Another great course, I would like to have more ppt with 1 or 2 examples per topic, to help me to understand better and how apply them.
Anonymous
(Tax Senior Associate)
this course taught me so much information that my brain is currently overloaded and I had to take an advil. so much rockin information!
Anonymous
(Tax Intern)
This course was shorter than the others, but still had good information on interpreting data and keeping economic significance in mind.
Tim Thomas
( at Tim Thomas CPA LLC)
good material on the different tests. I need to review the lesson a couple of times to fully understand the good points made in it.
Tal Crook
(RAS Associate at RSM)
This course was interesting and I really appreciate the inclusion of work being done on excel to help us visualize what we're learning
Anonymous
(Tax Associate)
This course was short, sweet, and straight to the point. The material was interesting and it was easy to stay engaged throughout.
Anonymous
(Tax Associate)
This lecture provided example of interpreting previous learned method. I feel like it is very helpful to understand the concept.
Anonymous
(Associate)
Decent look into regression, sample size of the data was unrealistically small which took away from the learning possibilities.
Anonymous
(Senior Business Consultant)
The hands-on application of regression analysis, though simplified, was helpful in understanding how to interpret the results
Anonymous
(Senior Associate)
I enjoyed this lecture more than several of the previous ones as it was less repetitive and more hands on and demonstrative.
Anonymous
(Associate)
Program was direct, short, and to the point. It was helpful, but for people with a strong stats background it was review.
Great lesson! Thoroughly enjoyed the content and how it was presented. I found it to be very insightful and rewarding.
Anonymous
(Senior Auditor)
The course content were clear and well organized. The demo clarified how different tools and metrics may be utilized.
Anonymous
(Staff Accountant)
There was a lot of information in this course. I will go back through this course to get a better understanding.
Anonymous
(Tax Associate)
Michael did a great job describing the importance of using big data analytics in a clear and concise manner.
Alejandra Chacon
(Snr.Assistant Controller at Oracle + NetSuite)
Excellent, is a good course guide to then deep in statistical maths, and with the mayor points to consider.
Anonymous
()
This course is really high level, so if you don't have a background in statistics, it is easy to get lost.
Anonymous
(Tax Associate)
The instructor was helpful in teaching the principals and techniques you can use in regression analysis.
Anonymous
(Tax associate)
Good course and taught the material well. I disliked how few questions there were on the final.
Anonymous
(Tax Associate)
It was very helpful to see a live excel demonstration of how data can be analyzed in real time.
Anonymous
(Controller)
Short helpful intro to big data. Great that it goes through an example to following along with.
Joann Kinsey
(Senior Associate at Grant Thornton)
Thank you for the course. Learned about interpreting data and analyzing data. Helpful course.
Anonymous
(Tax Associate)
I thought this course was on par with the other courses in terms of easiness to understand.
Andrew Schuler
(Senior Associate at Grant Thornton LLP)
This course described the difference between univariate and multivariate data analysis.
Anonymous
(Not Provided)
Short and effective hands-on training about interpreting results of data analysis.
Anonymous
(Associate)
Course was informative and easy to navigate. I would recommend it to a colleague.
Anonymous
(Senior Associate)
Continues to build on the past courses well. I look forward to the next courses
Anonymous
(Tax Associate)
This was a pretty basic overview of big data but still interesting and helpful.
Alex Bonn
(Student at Fairfield University)
Great instructor and I would suggest this course to a college finance student
Anonymous
(Tax Associate)
I was surprised to learn more tips about what all Excel has to offer.
Anonymous
(International Tax Sr. Associate)
Good course for learning how to use big data and vocab to go with it
Anonymous
()
Great course. It really helped my understanding of data analysis.
Nice addition to the Business Intelligence videos and slides.
Anonymous
(Tax Senior Associate)
The example was very helpful to better understand the topic.
Anonymous
(Income Tax Senior)
very good professor, easy to understand, great at explaining
Excellent course! Very useful material to have knowledge of
Anonymous
(Senior Associate)
Good course. Will be taking more courses. Will recommend.
Anonymous
(Audit Services Manager)
Very good class, informative materials and well presented
Anonymous
(Sr. Associate)
The use of excel to go through the examples was helpful
Anonymous
(Associate)
The excel portion was helpful in understanding concepts
Anonymous
(Not Provided)
good continuation from his previous courses. well done
Paul Gallagher
(Tax Associate at Grant Thornton)
Everything about this course was absolutely fantastic.
Anonymous
(Research Operations and Financial Office..)
I like this course that is easy to follow through.
Anonymous
()
relative material
Brendan Lynch
(Research Intern at InSite Search A Division of Chaves &..)
Nice, quick course
Anonymous
(Vice President / Technology and Planning)
good overview
Henry Guo
(Analyst at Fairfield University)
Great Lesson!
Anonymous
()
Great Course!
Anonymous
()
Great Course!
Anonymous
()
Great course
Scott Berlinguet
(student at Fairfield U)
Very Good!
Douglas Ronald
(---- at ------------)
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Prerequisites
Course Complexity: Intermediate
No Advanced Preparation or Prerequisites are needed for this course. However, it is recommended to take the other courses in the series prior to completing this one.
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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