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In this online course, you will learn how to choose an appropriate time series forecasting method, fit the model, evaluate its performance, and use it for forecasting. The course will focus on the most popular business forecasting methods: Regression models, smoothing methods including Moving Average (MA) and Exponential Smoothing, and Autoregressive (AR) models. It will also discuss enhancements such as second-layer models and ensembles, and various issues encountered in practice.

Course Program:

  • Week 1: Characterizing Time Series and the Forecasting Goal; Evaluating Predictive Accuracy and Data Partitioning
  • Week 2: Regression-Based Models
  • Week 3:Smoothing-Based Methods
  • Week 4: Forecasting in Practice

Important Date:

July 31, 2015 to August 28, 2015


4 Weeks

Time Requirement:

About 15 hours per week, at time of your choosing.


INR 35,340 (assuming $ = INR 60)

Part Time/Full Time:

Part Time

Data Scientists, data analysts, sales forecasters, marketing managers, accountants, economists, financial analysts, risk managers, anyone who needs to produce, interpret or assess forecasts will find this course useful. Participants should be familiar with basic statistics, including linear regression.

  • XL Miner
  • MS-Excel
  • Dr. Galit Shmueli
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