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
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
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Prerequisites
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.