Start Date:
16 June, 2025.
End Date:
18 June, 2025.
Course Overview
This course will introduce practical analytical methods for forecasting revenues..
Participants will be guided to apply forecasting techniques on their own laptop computers individually and group exercises. The course shall cover public and private sector entities
Course Objectives
The course will provide hands-on instruction on how to use specific qualitative and quantitative forecasting techniques and highlight the advantages and disadvantages of each technique. Instructors will show how to use Excel spreadsheet software as a tool for revenue forecasting and analysis
Course Outline
The course covers the fundamentals of revenue forecasting, including:
âÂÂÂÂÂÃ?â?¬¢ Best practices in revenue forecasting
âÂÂÂÂÂÃ?â?¬¢ Qualitative revenue forecasting methods
âÂÂÂÂÂÃ?â?¬¢ Quantitative revenue forecasting methods
âÂÂÂÂÂÃ?â?¬¢ Preparing data for quantitative analysis (deflating, differencing, smoothing, normalizing)
âÂÂÂÂÂÃ?â?¬¢ Trend analysis and moving averages
âÂÂÂÂÂÃ?â?¬¢ Fundamentals of regression analysis
âÂÂÂÂÂÃ?â?¬¢ Being a âÂÂÂÂÂÃ?â?¬ÂÂÂÂÂÃ?Å?smart consumerâÂÂÂÂÂÃ?â?¬ÂÂÂÂÂÃ? of regression output
âÂÂÂÂÂÃ?â?¬¢ Identify historic revenue patterns
âÂÂÂÂÂÃ?â?¬¢ Identify factors that affect revenue patterns
âÂÂÂÂÂÃ?â?¬¢ Specify assumptions about factors that affect revenues
âÂÂÂÂÂÃ?â?¬¢ Choose and apply appropriate forecasting method
âÂÂÂÂÂÃ?â?¬¢ Gauge the accuracy of the forecast