VTU Online Class - Course Details

Business Analytics & Data Mining Modeling Using R Part II

GAURAV DIXIT

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(0) 91 Students

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What you will learn

Management

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.

Association Rules- Part I

Association Rules- Part II

Association Rules- Part III

Association Rules- Part IV

Cluster Analysis- Part I

Cluster Analysis- Part II

Cluster Analysis- Part III

Cluster Analysis- Part IV

Cluster Analysis- Part V

Cluster Analysis- Part VI

Cluster Analysis- Part VII

Understanding Time Series- Part I

Understanding Time Series- Part II

Understanding Time Series- Part III

Understanding Time Series- Part IV

Regression Based Forecasting Methods- Part I

Regression Based Forecasting Methods- Part II

Regression Based Forecasting Methods-Part III

Time Series Forecasting- Smoothing Methods Part I

Time Series Forecasting - Smoothing Methods Part II

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Meet Your Instructor

video

Free

Course Duration

11 h 31 m 20 s
Course Level

Intermediate
Student Enrolled

91
Language

English

This Course Includes

11 h 31 m 20 s Video Lectures
0 Quizzes
0 Assignments
0 Downloadable Resources
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Certificate of Completion