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Course Co-ordinated by IIT Roorkee
Coordinators
 
Dr. Gaurav Dixit
IIT Roorkee

 

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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 computingCSS - MOOCs Proposal software) to build, assess, and compare models based on real datasets and cases with an easy-to-follow learning curve

 

Week

Topics

1.

General Overview of Data Mining and its Components Introduction and Data Mining Process Introduction to R Basic Statistical Techniques

2.

 Data Preparation and Exploration Visualization Techniques

3.

Data Preparation and Exploration Visualization Techniques Dimension Reduction Techniques Principal Component Analysis

4.

Performance Metrics and Assessment Performance Metrics for Prediction and Classification

5.

Supervised Learning Methods Multiple Linear Regression

6.

Supervised Learning Methods Multiple Linear Regression

7.


Supervised Learning Methods NaĆ ̄ve Bayes

8.

Supervised Learning Methods Classification & Regression Trees

9.

Supervised Learning Methods Classification & Regression Trees

10.

Supervised Learning Methods Logistic Regression

11.

Supervised Learning Methods Logistic Regression Artificial Neural Networks

    12. Supervised Learning Methods and Wrap Up Artificial Neural Networks Discriminant Analysis Conclusion

Basic Statistics Knowledge


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