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Course11010709520 lectures

Business Analytics & Data Mining Modeling Using R Part II

Prof. Gaurav Dixit · IIT Roorkee

Start with lecture 1 At NPTEL

About

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

Lectures

Week 1

  1. Association Rules- Part I YouTube
  2. Association Rules- Part II YouTube
  3. Association Rules- Part III YouTube
  4. Association Rules- Part IV YouTube
  5. Cluster Analysis- Part I YouTube

Week 2

  1. Cluster Analysis- Part II YouTube
  2. Cluster Analysis- Part III YouTube
  3. Cluster Analysis- Part IV YouTube
  4. Cluster Analysis- Part V YouTube
  5. Cluster Analysis- Part VI YouTube

Week 3

  1. Cluster Analysis- Part VII YouTube
  2. Understanding Time Series- Part I YouTube
  3. Understanding Time Series- Part II YouTube
  4. Understanding Time Series- Part III YouTube
  5. Understanding Time Series- Part IV YouTube

Week 4

  1. Regression Based Forecasting Methods- Part I YouTube
  2. Regression Based Forecasting Methods- Part II YouTube
  3. Regression Based Forecasting Methods-Part III YouTube
  4. Time Series Forecasting- Smoothing Methods Part I YouTube
  5. Time Series Forecasting - Smoothing Methods Part II YouTube

Syllabus and materials

At NPTEL, as the course publishes them.

Credits and licence

Institution
IIT Roorkee
Department
Management
Teacher
Prof. Gaurav Dixit
Level
Undergraduate
Language
English
Subjects
Business and management
Source
NPTEL
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
Attribution
NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
Who can watch
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