This course prepares participants to make more accurate financial forecasts with standard format generally accepted accounting principles (GAAP) financial statements by using business intelligence (BI). Particular focus is 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 the use of regression analysis to determine forecast growth rates using outside variables (e.g., GDP and inflation)
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.