Data Analytics with R

(26th June-01st July, 2018)

in association with

Venue: Krishna Engineering College 95, Loni Road, Between Mohannagar & Air Force Station-Hindon, Ghaziabad, Uttar Pradesh

Last Date for Registration: June 23rd, 2018

Eligibility: Faculty/PhD/Research Scholars of engineering/technical institutions and persons from Govt. departments/labs and industry.

Experts from Academia/Industry: Vowel Softech (Uttar Pradesh), Guest Lecture (IITR)

Why Data Analytics with R?

Data analysis has become an essential part of everyday life and emerged as a critical component of modern business intelligence in recent years. Data scientists have a number of option to analyze data using statistical methods. One of the most convenient and powerful methods is to use the R programming language. If you are a data analyst who wants to see data distributions before drawing conclusions, R allows you to visualize outliers and data density. This course will help you to learn how to tackle data analysis problems using the powerful open source language R. Participants will able to understand how data is created, stored, accessed, and how the organization works with data & creates the environment in which analytics can flourish. What you learn in this course will give you a strong foundation in all the areas that support analytics. Participants will also learn how to prepare data for analysis, compute various statistical measures, create meaningful data visualizations, R models to predict expected future outcomes.

Objective of the Course

  • Introduction of Data analytics, Machine learning and it's real-life applications.
  • Understanding of Statistics and R programming which will help the participants to carry out various analytical studies.
  • Benefits and Outcomes of the Course

  • Learn the various aspects of data handling and how information can be extracted from data.
  • Carry out predictions-how to predict, how to analyses predicted values, discuss the importance of variables in a dataset.
  • Industries and domain where analytics are used extensively.
  • Guide/Mentor the students to seek job opportunities in Data analyst fields.

  • Course Program

  • The program is split into lectures and labs/hands-on sessions.
  • Hands-on experience on basic and advanced-level topics.
  • Interaction & learning with experts from academia & industry.
  • Certificates to participants by E&ICT Academy IIT Roorkee.

  • Course Content:
  • Introduction to Machine Learning, Data Analytics, and Statistics.
  • Introduction to R, Datatypes, Vectors, Matrix List, Functions & loops, Dataframe, Statistical analysis.
  • Regression, Simple linear regression, Multiple linear regression, Logistic regression.
  • Trees, Decision tree, Random Forests.
  • Clustering, K-nearest neighbor (Knn), Support Vector Machines (SVM).
  • Assignment/Mini project based on Data analytics.
  • Important Details

    Last Date for Registration:
    June 23rd, 2018
    40 seats on first-cum-first-serve basis
    6 days, 48 hours
    Registration Fee
    Faculty Members/Research scholars: Rs. 2,500/-
    Persons from Industry: Rs. 3,000/-
    Payment Details
    Demand draft drawn in favour of "Dean SRIC IIT Roorkee" payable at Roorkee
    How to Apply
    You can apply online by click here to fill-up the application form OR you can download offline form and email scanned copy to
    Contact Details
    Dr. Sanjeev Manhas (P.I., E&ICT Academy, ECE Dept, IITR)
    Dr. Pramod Kumar (KEC, Ghaziabad),
    Tel: +91-9410728057,+91-7078627392, +91-1332-28 6457

    A hard copy of the application form along with Demand Draft must reach to the following address: Mr. Prateek Sharma, EICT Academy, ECE Department, IIT Roorkee, Uttarakhand 247667.

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