Analytics with R

Want to become an indispensable R Analytics Expert? Enrol in one of the most advanced certification courses in data analytics.

Become an indispensable R expert

This advanced course by Jigsaw Academy has been designed by R Analytics experts.
gaurav vohra
Who should do this course?

  • This course is designed for those who are already using analytics technologies at work in SAS and SPSS and want to gain some skills in R.

Course details

  • Course duration: 10 hours of pre-recorded video lectures & 12 hours of pre-recorded classroom training
  • Batch start date: This is a video based course and can be started at any time
What will you get at the end of the course?

  • Learn how to use R for data manipulation and predictive modeling.
  • Develop a comfort level with R as a tool for data analysis and apply statistical algorithms to build analytical models.

Pre-requisites for the course

  • Knowledge of data manipulation and data exploration techniques.
  • Knowledge of the concepts and applications of predictive analytics and data mining techniques like regression and clustering.
  • Knowledge of statistical softwares like SPSS or SAS.
  • Basic exposure to programming concepts in any language recommended
    (C++, Java, SAS).

Get the Jigsaw Advantage...
Experienced Faculty, Real Life Business Datasets


What knowledge will you gain?

Topics covered in the 4 modules of the analytics with R course are as follows:

Beginner’s Course
Introduction to R
  1. Introduction to R
  2. R Set-up
  3. Packages in R


Beginner’s Course
Programming in R
  1. R Syntax and Objects
  2. Basic Data Manipulation
  3. Advanced Data Manipulation
  4. Functions in R

Beginner’s Course
Basic Analytic Techniques
  1. Data Exploration with R
  2. Data Preparation with R
  3. Data Visualization with R

Beginner’s Course
Predictive Modeling Techniques
  1. Hypothesis Testing in R
  2. Linear Regression
  3. Logistic Regression
  4. Cluster Analysis
  5. Decision Trees

Case Studies you will be working on, as part of the course

Beginner’s Course
Predicting the price of a car

Predict the price of a car based upon variables like model, make of the car and engine capacity among others. The data set has 12 columns. To predict the target variable multiple linear regression is used. The model is then analysed further to improve the model performance.

Beginner’s Course
Customer behaviour on a loan

Using bank data with 21 columns the objective is to predict the defaulting behaviour of a customer. The data is analysed by Logistic regression as well as using decision trees giving the insights and comparison for both the techniques.

Beginner’s Course
Analysis of Grocery sales in different stores in Karnataka and Tamil Nadu

The analysis is on mix of sales by category and avg. sales per square foot of space for a grocery retailer with 515 stores spread across KA and TN.

Beginner’s Course
Predicting the money bet on a horse race

The aim of this study is to come up with recommendations to a client that is in the horse racing industry on how to maximize money bet on any race. Insights are generated from data having 23 columns with different track types and years in which races were conducted.

Beginner’s Course
Analysis of the Customer attrition in a telecom industry

The goal of the study is to analyse customer attrition based upon minutes used, age and other demographic information.

Want to know how it will work?

Watch this video

prerequiste

 

 

And

Understand the Course Methodology

big data

What do you get when you enrol for this course?

Jigsaw Academy's 4 comprehensive modules will help you understand how to use R for analytics.

Beginner’s Course
Learning Center

Participants have access to a variety of supplemental resources - Reference materials, guides, white papers etc via the Learning Centre.

You will have full access to all materials for 6 months.

Beginner’s Course
Offline Faculty Support

Participants also get access to faculty via email, phone or Skype for help with the course as required, in additional to the scheduled Q&A sessions.

You will have access to faculty for 6 months.

Beginner’s Course
Q&A Sessions

As a part of the course, participants also have live Q&A sessions on a fixed schedule with the faculty for the course. These question and answer sessions can be used for help with assignments, concepts covered, and any other content related questions.

All these sessions are also recorded, and participants get access to recordings to review material or to make up for any missed Q&A sessions.

Beginner’s Course
Video based training

Participants will get access to about 10 hours of pre-recorded video lectures & 12 hours of pre-recorded classroom training. The videos can be viewed at any time and as many times as the participant wants.

Participants will have access to the video lectures for a period of 6 months.

Beginner’s Course
Student Forums

Participants will have access to student forums where they can ask any questions related to big data and analytics. Student forums will help you connect with the Jigsaw analytics community.

Beginner’s Course
Virtual Lab

Participants are given access to Jigsaw Academy's virtual lab-a unique cloud-based solution to providing the lab experience. You will be able to work on real life business datasets.

You will have access to the lab for a period of 3 months.

Beginner’s Course
Career Assistance

Participants get one on one support for resume preparation. We will also identify and notify you of various analytics opportunities in various organizations we work with.

Get your questions answered (FAQs)

1
What is the duration of the course?

This is a video based course. You will have access to 10 hours of pre-recorded video lectures & 12 hours of pre-recorded classroom training. You will have 6 months to complete the course.

5
Who should take this course?
If u are already using analytics technologies at work in SAS and SPSS and want to gain some skills in R then this course is for you.
2
Will I get a chance to work on huge datasets?
You will work on multiple case studies as part of the course. The case studies will involve hands-on work on huge datasets.
6
What are the pre-requisites for the course?
Participants need a knowledge of datamanipulation and data exploration techniques,as well as the concepts and applications of predictive analytics and data mining techniques like regression and clustering. They also need a knowledge of statistical softwares like SPSS or SAS and basic exposure to programming concepts in any language is recommended(C++, Java, SAS).
3
Do you provide placement assistance?
Yes, we provide placement assistance to our students as well. Learn about Jigsaw's placement support here.
7
What are core benefits?
  • Learn how to use R for data manipulation and predictive modeling.
  • Develop a comfort level with R as a tool for data analysis and apply statistical algorithms to build analytical models.
4
What is the refund policy?

We like to keep our students happy, so we have a 15-day no questions asked refund policy.

8
How long will l have access?

You will have access to all class videos and recordings for a period of 6 months. You can view them as many times as you like in that time.

Click here to read all the FAQs.


Analytics Training Introduction

R Analytics Training Introduction
Software Paradigm of R

Principle and Software Paradigm of R
Course Fee: indian studentsRs. 20,000 (Indian students)ENROL NOW! Foreign students$450 (Outside India)
ENROL NOW!
Beginner’s Course
Very well designed

Jigsaw’s course on R is very well designed and full of relevant case studies and examples.

– Nakul Dogra (Research Manager at IMRB)
Beginner’s Course
Superb case studies!

I was sceptical about doing a video course but the support from Jigsaw's team has made me a convert! Case studies are superb.

– Uma Parameshwar (Freelancer, Singapore)
Course Fee: indian studentsRs. 20,000 (Indian students)ENROL NOW! Foreign students$450 (Outside India)
ENROL NOW!

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