Business Analytics & Data Mining Modeling using R Part II
Offered By: Indian Institute of Technology Roorkee via Swayam
Course Description
Overview
Objective of this course is to impart knowledge on use of data mining techniques for deriving business intelligence to achieve organizational goals. Use of R (statistical computing software) to build, assess, and compare models based on real datasets and cases with an easy-to-follow learning curve.INTENDED AUDIENCE: UG & PG engineering students: all branches, MBA students, Professionals working in or aspiring for Business Analyst, Data Analyst, Data Scientist, and Data Engineer rolesPREREQUISITES: Business Analytics & Data Mining Modeling Using RINDUSTRY SUPPORT: Big Data companies, Analytics & Consultancy companies, Companies with Analytics Division
Syllabus
Week 1 :Unsupervised Learning Methods : Association Rules
Week 2 : Unsupervised Learning Methods : Cluster Analysis
Week 3 :Time Series Forecasting: Understanding Time Series and Regression-Based Forecasting Methods
Week 4 :Time Series Forecasting: Smoothing Methods and Conclusion
Week 2 : Unsupervised Learning Methods : Cluster Analysis
Week 3 :Time Series Forecasting: Understanding Time Series and Regression-Based Forecasting Methods
Week 4 :Time Series Forecasting: Smoothing Methods and Conclusion
Taught by
Prof.Gaurav Dixit
Tags
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