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Business Analytics & Data Mining Modeling Using R Part II

IIT Roorkee, , Prof. Dr. Gaurav Dixit

Updated On 02 Feb, 19

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 roles
PREREQUISITES: Business Analytics & Data Mining Modeling Using R
INDUSTRY SUPPORT:Big Data companies, Analytics & Consultancy companies, Companies with Analytics Division

Includes

Lecture 28: Time Series Forecasting- Smoothing Methods Part I

4.1 ( 11 )

Lecture Details

Course Details

COURSE LAYOUT

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 

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Comments
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Sam

Excellent course helped me understand topic that i couldn't while attendinfg my college.

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Dembe

Great course. Thank you very much.

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