Predictive modeling takes data where a variable of interest (a target variable) is known and develops a model that relates this variable to a series of predictor variables, also called features. Four modeling techniques will be used: linear regression, logistic regression, discriminant analysis and neural networks. The course includes hands-on work with XLMiner, a data-mining add-in for Excel.
- Linear and Logistic Regression
- Discriminant Analysis
- Neural Nets
- Additional Topics: Looking Ahead
July 01, 2016 to July 29, 2016
About 15 hours per week, at time of your choosing.
INR 32,940 (assuming $ = INR 60)
Full Time/Part Time:
Who Should Take This Course:
Marketing and IT managers, financial analysts and risk managers, accountants, data analysts, data scientists, forecasters. This course is especially useful if you want to understand what predictive modeling might do for your organization, undertake pilots with minimum setup costs, manage predictive modeling projects, or work with consultants or technical experts involved with ongoing predictive modeling deployments.
- Mr. Anthony Babinec
- Dr. Galit Shmueli