Big Data Analytics Using Hadoop
and R

Learn how to use Big Data technologies to process and analyze very large business datasets.

Become a Hadoop and R expert

This course has been designed by industry experts who have deep knowledge and experience in the fields of big data and analytics.
Who should do this course?

This course is designed for –
  • Analytics professionals looking to learn big data skills
  • IT Professionals interested in Big Data Technologies
  • Database professionals planning to enter the analytics industry
  • MBA Students/Recent engineering graduates pursuing a career in Big Data or Data Science

Course details

  • Course duration: 12 weeks
  • Work load: 10-15 hours per week
  • Batch start date: TBD
What will you get at the end of the course?

  • Knowledge of Hadoop Distributed System
  • Landscape of Big Data Technologies
  • Analyzing Big Data using Hive, Pig and Impala
  • Implement MapReduce Programs using R
  • Build Tableau Reports and Visualizations on Hadoop Data
  • Hands-on exposure to industry relevant tools and projects

Pre-requisites for the course

  • Basic experience with R is highly recommended
  • Knowledge of Java or OOPS programming languages is preferable not mandatory
  • Prior knowledge of SQL is beneficial
  • Ability to work with Unix/Linux Platforms
  • Introductory Statistics – Mean Std Dev Summary Statistics

Don t meet the pre-requisites for the course? You can learn the basics for free when you join the course. You will get access to videos on:

  • An introduction to R
  • Data Manipulation with R
  • Descriptive Statistics

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

What knowledge will you gain?

Topics covered in the 5 modules of the Big Data Training using Hadoop course are as follows:

Beginner’s Course
Big Data & Hadoop Overview
  1. What is Big Data?
  2. Why Hadoop?
  3. Hadoop and Map Reduce Overview
  4. Hadoop Ecosystem
  5. Cloudera Distributions
Beginner’s Course
Hadoop Data Management
  1. Hadoop Installation
  2. Introduction to HDFS
  3. Introduction to HBASE
  4. Hive Data Management
  5. Sqoop and Flume Overview

Beginner’s Course
Processing Complex Data using Hadoop
  1. Hadoop Streaming
  2. Data Analysis using Pig
  3. Introduction to Oozie
  4. Data processing using Impala
  5. Text Processing using Hive
Beginner’s Course
Performing Analytics on Hadoop
  1. R Overview
  2. R Streaming on Hadoop
  3. Introduction to RHadoop
  4. MapReduce Programming in R
  5. Tableau for Hadoop

Beginner’s Course
Big Data Case Studies
  1. Handling Unstructured Data
  2. End-to-End Analytics using Hadoop
  3. Case Studies with RHadoop
  4. Visualizations with Tableau

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

Beginner’s Course
Text Analytics using Twitter Data

Analysis of over 1 million tweets and 15 columns of information. This case study will use Flume component of Hadoop to collect almost a gigabyte of twitter data.

Beginner’s Course
Clickstream Analytics using Web Data

Clickstream data is an information trail a user leaves behind while visiting a website. These data files contain information around URL, timestamp, IP address, data and a unique user ID over a range of 5 Million rows.

Beginner’s Course
Financial Analysis on Stock Data

New York Stock Exchange data containing over 5 Million rows and 10 columns for about 2500 firms.

Beginner’s Course
Flight Delay Optimization using Airline Data

Analysis of Airlines data with over 123 Million rows (observations) and 29 columns containing variables of different data types including factors with lots of levels.

Beginner’s Course
Processing Email Data on Hadoop

The email corpus contains data of about 150 users and a total of about 500,000 messages.

Want to know how it will work?

Watch this video





Understand the Course Methodology

big data

What do you get when you enrol for this course?

Jigsaw Academy's 5 comprehensive modules to help you become an expert on big data analytics.
Q&A sessions with faculty included.

Beginner’s Course
Live Classes

Live classes are conducted by analytics experts in Jigsaw Academy's virtual classroom. The live classes are full interactive and participants can ask questions and get doubts clarified.

The Big Data Course comes with 12 live sessions of 2 hours each.

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.

This Big Data with R and Hadoop course comes with 2 hours of Q&A every month, with live sessions of 2 hours each with course faculty.

Beginner’s Course
Video based training

Participants will get access to about 25 hours of pre-recorded video lectures & 25 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 6 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)

What is the duration of the course?

The duration of the live instructor led course is 12 weeks. You will have 6 months to complete the course.

Who should take this course?
If you are an IT or database professional looking to build expertise in Big Data Technologies, or an Analytics professional that wants to broaden skills to include Big Data Analytics, or a recent engineering graduate or MBA aiming to build a career in Big Data and Analytics, this is the course for you!
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.
What are the pre-requisites for the course?
  • Basic experience with R is highly recommended
  • Knowledge of Java or OOPS programming languages is preferable not mandatory
  • Prior knowledge of SQL is beneficial
  • Ability to work with Unix/Linux Platforms
  • Introductory Statistics - Mean Std Dev Summary Statistics
Do you provide placement assistance?
Yes, we provide placement assistance to our students as well. Learn about Jigsaw's placement support here.
What are core benefits?
After completing this course you would acquire expertise with Hadoop and technologies used with Hadoop, and R.You will get hands-on experience with setting up and processing Big Data using a Hadoop cluster, and performing analytics with R through practice assignments with real life business datasets.
What is the refund policy?

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

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.

Big Data

What is Big Data?
History of Big Data

History of Big Data.
Course Fee: indian studentsRs. 42,000 (Indian students) ENROL NOW! Foreign students$900 (Outside India) ENROL NOW!
Awesome Course
This is an awesome course for people who want to make a career in big data. Trainers like Sarita are real gems and help make the concepts real clear.

– Vitin Gupta,
(Refinery & Marketing Operations
Bryan/College Station, Texas, USA)
Big Differentiator
I come from a non-programming background and was finding it difficult to learn Hadoop. Jigsaw's course teaches Hadoop from the analytics perspective and not technology. This is a big differentiator.

– Umang Chugh
MBA, Asia Institute of Management, Manila

Interested in learning more about Big Data?

Big Data is impacting our lives in more ways than we imagine. This Beginners Guide to Big Data Analytics is a simple and informative guide to help you understand the characteristics of Big Data, its challenges, technologies and landscape. For those interested in a career in Big Data, this book will help you understand the various Big Data Roles and the huge potential of the Big Data Industry.

big data


This eBook is a bible for all those who would like to make a career in analytics. Thank you Jigsaw for compiling such useful information.

– Ravi Kamdar, SoftTech Globus

Very informative & well written.
A must read.

– Kumar Manish, Infosys Solutions

download FOR FREE!

(PDF 800kb. Readable on any device)
Course Fee: indian studentsRs. 42,000 (Indian students) ENROL NOW! Foreign students$900 (Outside India) ENROL NOW!

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