Forecasting Analytics is a post-graduate business analytics elective course at ISB. Forecasting describes the act of generating predictions of future values or events. Quantitative forecasting, which focuses on data for generating numerical forecasts, is an important component of decision making in a wide range of areas and across many business functions, including economic forecasting, workload projections, sales forecasts and transportation demand.
This course focuses on forecasting time series, where past and present values are used to forecast future values of a series of interest. The course covers issues relating to different steps of the forecasting process, from goal definition, through data visualization, modeling, and performance evaluation to model deployment.
This is a hands-on course, driven by a business forecasting project that will encapsulate the different steps of practical forecasting. We use real datasets, commerical software (Spotfire and XLMiner), and the textbook Practical Time Series Forecasting.
Familiarity with data analytics and business intelligence is highly sought-after in today's competitive market. This course will give you an appreciation and experience in deriving value from data using forecasting.
Instructors of business anlaytics courses are welcome to join the BZST teaching forum for resource sharing.
Other Business Analytics courses at ISB that fit well with Business Forecasting:
- Database Marketing
- Business Analytics using Data Mining
How does Google forecast the popularity of "business forecasting" searches on the Web? (click the image for a fresh rendering)
What's the difference between "prediction" and "forecasting"? Here's Prof Shmueli's take in the video
|Course outline Forcasting 2011.pdf||477.04 KB|