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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

The Essentials of Data Science with R Software – 2 online course is a 12-week study that focuses on learning mechanisms of data analytics using R software. Some of the analytical tools studied include regression analysis and sampling theory. This course is an AICTE approved Faculty Development Program (FDP).

As a part of the Essentials of Data Science with R Software – 2 certification syllabus, learners will explore sampling and linear models with R software. Students will receive video lectures and book references additional support. With 12 learning modules, the topics covered include Bootstrap methodology, random sampling, and LASSO regression.

Developed by IIT Kanpur, Professor Shalabh mentors the Essentials of Data Science with R Software – 2 training. A renowned academician, Dr. Shalabh has authored four books and 75+ research papers. Candidates need to submit assignments and write an exam for the certification. For that, they will need to pay the necessary fee.

The Highlights

Assignments based
An AICTE approved program
An e-certificate
E-learning
FDP
Final assessment
12-week program
Video lectures
Learning modules

Programme Offerings

assignments
E-certificate
Learning Tools
assessments
Book references

Courses and Certificate Fees

Fees Informations	Certificate Availability	Certificate Providing Authority
INR 1000	yes	IIT Kanpur

Students need not pay any amount to learn from the Essentials of Data Science with R Software – 2 programs.
If students wish to certify their learning, they must pay an exam fee of Rs. 1000.

Essentials of Data Science with R Software – 2-course fee structure

Course	Fee
Essentials of Data Science with R Software – 2 (Learning)	FREE
Essentials of Data Science with R Software – 2 (Learning + Certificate)	Rs. 1000

Eligibility Criteria

Students from a mathematical or statistical background are welcome to apply for the Essentials of Data Science with R Software – 2 certification course. Additionally, learners of the courses ‘Introduction to R’ and ‘Essentials of Data Science with R Software – 1’ are welcome.

To be eligible for the e-certificate, candidates need to complete all the assignments and write an exam towards the end. The scoring criteria are Average assignment>/= 10/25, and Exam score>/=30/75.

What you will learn

Data science knowledge

The Essentials of Data Science with R Software – 2 certifications will explore the below-mentioned concepts:

Data science
R software calculations
Simple and stratified sampling with and without R
Bootstrap methodology
Linear regression
Linear models
Variable selection
LASSO regression
Multiple linear regression

Who it is for

Being a Faculty Development Program, the Essentials of Data Science with R Software – 2 training is ideal for professionals working in analytics, and students pursuing engineering and other sciences.

Admission Details

Candidates interested in learning from the Essentials of Data Science with R Software – 2 online courses can register by following these steps:

Step 1: Preview the program’s offerings using the web link: Essentials of Data Science With R Software - 2: Sampling Theory and Linear Regression Analysis - Course (nptel.ac.in).

Step 2: Once through, click on the register option available on the top.

Step 3: Use a Facebook, Google, or Microsoft account and log in to SWAYAM. If not, enter an email ID of your choice.

Step 4: Enter a password and username for your learning profile. You can start learning from the course by adding the same to your cart.

Application Details

Candidates must enter their contact details like name, phone number, and email address; and academic qualification to register for the Essentials of Data Science with R Software – 2 certification course. Merely signing up with SWAYAM will suffice.

The Syllabus

Introduction to data science
Calculations with R Software

Basic Fundamentals of Sampling

Simple Random Sampling

Simple Random Sampling with R

Stratified Random Sampling

Stratified Random Sampling with R

Bootstrap Methodology with R

Introduction to Linear Models
Regression and Simple linear regression Analysis

Simple Linear Regression Analysis with R

Multiple Linear Regression Analysis

Multiple Linear Regression Analysis with R

Variable Selection using LASSO Regression

Evaluation process

To receive the Essentials of Data Science with R Software – 2 certification, applicants must complete all the in-course assignments and write the final test. Students must check the website on a regular basis to know when registration starts. They need to pay Rs. 1000 and select a time slot [Morning 9-12/ Afternoon 2-5] based on which a center is assigned. Students must visit the center on the allotted date and time and write the test in-person.

The final score to assess a candidate's eligibility is divided into - proctored tests (75), and in-course assignments (25). Learners need to score a minimum of 10 in the assignment part, and 30 in the test.