COURSE

Qip Course on Data Science Using R & Python
24.06.2019 To 28.06.2019

Speakers


Name

Deptt.
Email: a@gmail.com
Phone: 01672 – 253100

Name

Deptt.
Email: a@gmail.com
Phone: 01672 – 253100





Tentative Programme Schedule

Download Schedule (Click Here)

Course Brochure

Download Brochure (Click Here)

Registration

(Click Here) For Registration

Objective of the Course

OBJECTIVE OF THE COURSE:The course plans to use popular data science platforms such as R and Python to introduce data science concepts and theories. It provides and introductory overview of R and Python as software platform for analytics. It will help participants to learn best programming practices and develop clear and concise code. The course shall cover popular data science techniques such as linear regression, k-NN, native Bayes, trees, ANN, logistic regression, discriminant analysis, clustering andassociation rules mining.


Course Contents

  1. Introduction and Data Mining Process
  2. Introduction to R & Python
  3. Basic Statistical Techniques
  4. Visualization Techniques
  5. Performance Metrics for Prediction and Classification
  6. Multiple Linear Regression
  7. K-Nearest Neighbors
  8. Naïve Bayes
  9. Classification & Regression Trees
  10. Logistic Regression
  11. Artificial Neural Networks
  12. Discriminant Analysis
  13. Association Rules
  14. Cluster Analysis

General Information

GENERAL INFORMATION:The Indian Institute of Technology Roorkee is organizing a course on “Data Science Using R & Python” from 24.06.2019 to 28.06.2019. The course is open to teachers from AICTE-recognized engineering colleges.Limited seats are available in this course. Merit will be taken into consideration while selecting candidates. The candidates, after filling the online application form take a final print out of the form. The duly forwarded form by the sponsoring authority of the the concern institute should be submitted to the office of QIP Coordinator latest by 10.05.2019.

Candidates admitted will be provided free hospitality. The boarding and lodging arrangements for all the participants will be made in the Institute Guest House on twin sharing basis. Participants who are not availing this facility will not be entitled to any rebate. Family accommodation is not available on campus. However, personal arrangements in city hotels can be made at own expense.

Although, the course is for faculty members from AICTE approved engineering colleges, few seats are available for sponsored candidates from industries. Although, the course is for faculty members from AICTE approved engineering colleges, (Without Registration Fee), few seats are available for sponsored candidates from industries. The registration fee is ` Rs. 10,000/- which includes boarding, course material and other local hospitalities. The DD should be drawn in favour of "Prof. & Head, Continuing Education Centre, IIT Roorkee". This does not include accommodation which can be booked separately on request.


Course Coordinator(s)
1 Dr. Gaurav Dixit Assistant Professor Department of Management Studies
Email: gauravdixit.fdm@iitr.ac.in, gauravdixit.fdm@gmail.com
2 Dr. Rajib Lochan Dhar Associate Professorr Department of Management Studies
Email: rajibfdm@iitr.ac.in