1. Preparing business ready analytics professionals who are
productive from day one!

2. ABOUT JIGSAW ACADEMY
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Is an initiative by IIM Bangalore alumni who have extensive experience in the
field of analytics, marketing, off-shoring and education
Among Top 8
Best Analytics Training
Analytics India Magazine
has ranked Jigsaw Academy
as the best analytics
training institute in India.
Jigsaw Academy has been
ranked as no. 1 online
analytics training
institute by Sulekha.com.
The magazine writes –
“Jigsaw Academy can play a
crucial role by identifying
and nurturing analytic
talent in India”.
The website writes – “This
unique online platform
utilizes a combination of
virtual lab and virtual
classrooms to offer unique
and top notch learning
experience.”
© Jigsaw Academy Education Pvt. Ltd.
At Par with IIT
Data Analytics expert and
blogger Himanshu Manroa
has ranked Jigsaw
Academy at par with
IIT courses.
He writes – “IIT will make
you feel good, earn some
adulation but Jigsaw will
make you more effective,
entrench your reputation
and earn some real
Respect!”

3. About Jigsaw Academy
Emphasis on preparing participants to be productive from Day One!
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First of its kind learning academy that provides industry-relevant training and
education in the field of analytics to develop business-ready professionals
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Carefully-designed courses that are a unique blend of statistics, statistical tools
and industry knowledge through real life examples—designed to meet the
specific needs of both students and employers
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Faculty includes senior industry professionals with specific domains of
expertise
© Jigsaw Academy Education Pvt. Ltd.

4. Data Scientist Course
R Training
Provides thorough training on R software for working with a variety of business problems in domains like
retail, financial services, telecom and healthcare
Handling Big Data
Hands on experience with tools and knowledge needed to work with hadoop databases and further analyze
big data using some real time case studies
Analytics Techniques
Provides an understanding of analytics, usage in business, modeling algorithms as well as the most widely
used analytic techniques using case studies and real business situations.
Statistics
Covers the basics of statistics as well as advanced statistical concepts used in the various analytic
techniques. Designed for analytics professionals.
Placement Package
Covers the soft skills required for the role of a business analyst. Workshops on resume building and
interviewing for analytics. Talks by industry experts.
© Jigsaw Academy Education Pvt. Ltd.

5. Data Scientist Course
© Jigsaw Academy Education Pvt. Ltd.

6. About R
About R
• R is a free and open source environment for computational research and graphics
• R is one of the most popular open source analytic tools in the world. It is used by
over 2 million analysts worldwide.
Companies using R
© Jigsaw Academy Education Pvt. Ltd.

7. Analytics Overview
Models and Algorithms
Module: Introduction to Analytics
Overview of Analytics
• What is analytics?
• Types of problems in analytics
• Case studies of application of analytics in
business
• When analytics does not work
• Analytics vs. data warehousing, OLAP,
Statistics
• Widely used analytic software
• Companies using analytics
• Day in the life of a business analyst
• Career path in analytics
• Qualities of a business analyst
© Jigsaw Academy Education Pvt. Ltd.
Problem Definition
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• Basics of problem definition
• Case study - Car Insurance
• Case study - Credit Cards
Modeling Terminology
Linear Regression
Logistics Regression
Decision Trees
MARS
Rule Induction
K-nearest
Neural Network
Genetic Algorithm
Analytic Methodology
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Problem definition
Data selection
Data exploration
Data partition
Data cleansing
Data transformation
Modeling
Validation
Deployment
Assessment
Re-start
Analytic Tools
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Overview of Analytic Tools
GUI based and Programming based
Excel
SAS
R
Others

8. Working with Big Data
Hadoop
Module: Big Data Module
Big Data Overview
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What is Big Data?
Generators
Drivers
Characteristics
Structured vs. Unstructured Data
Challenges
Big Data Analytics
• Comparison with traditional
Analytics
• Tools and Technologies
• Applications
• Sample Case Studies
• Project Life Cycle
© Jigsaw Academy Education Pvt. Ltd.
RHadoop for Big Data
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RDBMS Limitations
No-SQL Databases
History of Hadoop
Why Hadoop
Hadoop Ecosystem
Big Data Applications
Installation Modes
Working with Hadoop
MapReduce
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What is MapReduce?
Map Process
Reduce Process
Anatomy of Map Reduce
program
Hadoop Components
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HDFS Overview
HDFS Architecture
HBASE Overview
HIVE
FLUME
R & Hadoop Overview
Why Rhadoop?
Advantages
Installation
Configuration
Sample Use Cases
Final Case Study
• Case Study: Twitter Analytics
using HIVE and FLUME

9. Statistics
Module: Statistics
Statistics
• Introduction to statistics
• Summary statistics
– Mean
– Median
– Mode
– Variance
• Random Variables
• Probability
• Probability distribution
– Binomial
– Poisson
– Normal
© Jigsaw Academy Education Pvt. Ltd.
• Hypothesis testing
– Intuition
– Standard approaches
• T-test
– One sample
– Two Sample
• Chi-square test
– Variance
– Association
• Multiple Sample Tests
– ANOVA
– Chi Square
• Non parametric testing

10. Tools Training
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Module: R
Introduction to R
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What is R?
Origins of R
Current Status
R Ecosystem
Commercial products
How R can help in Business
Analytics, Data Mining , Data
Visualization
R Installation
– Windows
– Linux
– Using VMware for virtual
partition
– CRAN and Packages
© Jigsaw Academy Education Pvt. Ltd.
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R Interfaces
– Command line
– Graphical User Interfaces
– IDE
– Web Interfaces
Advantages and
Disadvantages of using R
Data Input
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Data Import
Spreadsheet Like Data
Statistical File Formats
Databases
Internet Data
Data from Packages
Using GUI for Data Import
Data Manipulation
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Transposing Dataset
Conditional selection of
rows, columns, variables
Using Reshape
Merging Datasets
Data Exploration
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Types of Data in R
Summarizing data in R
Using GUI for Data
Exploration
Graphs in R

11. Analytics Techniques
Module: Analytic Techniques
Regression
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Basics of Regression
Linear Regression
Logistic Regression
Interpretation of modeling results
Violation of regression assumptions
Insurance Case study
Decision Trees
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What are decision trees?
Examples of trees
Terminology in decision trees
Data preparation for trees
How to create a tree?
© Jigsaw Academy Education Pvt. Ltd.
• Measure of effectiveness
– Gini
– Chi-square
– Information gain
– Reduction in variance
– Others
• Application of algorithms
• Case study - Fraud detection
• Case study - Car Insurance
pricing
• Use of decision trees
• Pros and cons
• What makes a good tree?
• When to use Decision trees?
• Widely used software for
Decision trees
Clustering
• What is clustering
• Types of clustering
• K-means clustering
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Measures of homogeneity
Data prep
Hierarchical clustering
Cluster evaluation
Cluster profiling
When to use
Important considerations
Clustering in SAS - case study
on store clustering
Pitfalls to avoid while
Modeling
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Misleading patterns
Biased population
Data at wrong level
Already known insights
Un-actionable insights

12. Testimonials
The whole course is built on the case study and hands on working experience on analytical tools. Needless to say
both, Gaurav & Sarita are great individuals and domain experts, and to add to it they keep you connected. Both are
very easily approachable; make all possible attempts to resolve the queries/issues. This course has given me totally
new perspective, boosted confidence Highly recommended!!‘
Pallavi Joshi, A.V.P. TATA Capital Ltd
I will recommend this course to everyone who are still searching for the right analytics course. Jigsaw helped me to
understand the concepts very easily. Case studies based on the real data makes you more comfortable if you are
new to analytics. Thanks to Sarita and Gaurav who had helped me at every stage during and after the course.
Dnyaneshwar Ambhore, Software Engineer at Symantec Corporation
The best part of the course is the highly experienced and approachable mentors who are there to clear your
doubts, guide you in the right way to fulfil your aspiration to pursue a career in analytics. Thanks to Sarita and
Gaurav who have guided me whenever needed.
Prateek Agrawal, Analyst- Credit Policy at Citibank India
© Jigsaw Academy Education Pvt. Ltd.

13. TRAINING METHODOLOGY
Jigsaw Academy’s Online Education Platform
Virtual Classroom
Control options
Jigsaw Academy uses Adobe’s virtual classroom
platform, considered to be one of the best platforms
for Live, Online Teaching.
Features of the Virtual Classroom
Text interaction
• Intuitive and easy to use interface
• Audio, video and text interaction
• No software downloads required
• Records the class as it happens, including presenters’
audio and video inputs
© Jigsaw Academy Education Pvt. Ltd.
Video interaction

14. CONTACT US
• Phone: +91-9243522277, +91-9008017000
• Email: info@jigsawacademy.com
• Website: www.jigsawacademy.com
• Blog: http://www.analyticstraining.com
• FAQs: http://jigsawacademy.com/faqs.html
© Jigsaw Academy Education Pvt. Ltd.