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Page 1: Jigsaw Academy Data Scientist Course

Preparing business ready analytics professionals who are

productive from day one!

Page 2: Jigsaw Academy Data Scientist Course

ABOUT JIGSAW ACADEMY

• Is an initiative by IIM Bangalore alumni who have extensive experience in the

field of analytics, marketing, off-shoring and education

© Jigsaw Academy Education Pvt. Ltd.

Among Top 8

Analytics India Magazine has ranked Jigsaw Academy as the best analytics training institute in India. The magazine writes – “Jigsaw Academy can play a crucial role by identifying and nurturing analytic talent in India”.

Best Analytics Training

Jigsaw Academy has been ranked as no. 1 online analytics training institute by Sulekha.com. The website writes – “This unique online platform utilizes a combination of virtual lab and virtual classrooms to offer unique and top notch learning experience.”

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!”

Page 3: Jigsaw Academy Data Scientist Course

About Jigsaw Academy

Emphasis on preparing participants to be productive from Day One!

• First of its kind learning academy that provides industry-relevant training and

education in the field of analytics to develop business-ready professionals

• 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

• Faculty includes senior industry professionals with specific domains of

expertise

© Jigsaw Academy Education Pvt. Ltd.

Page 4: Jigsaw Academy Data Scientist Course

Data Scientist Course

© Jigsaw Academy Education Pvt. Ltd.

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

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

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.

Page 5: Jigsaw Academy Data Scientist Course

Data Scientist Course

© Jigsaw Academy Education Pvt. Ltd.

Page 6: Jigsaw Academy Data Scientist Course

About R

© Jigsaw Academy Education Pvt. Ltd.

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

Page 7: Jigsaw Academy Data Scientist Course

Analytics Overview

© Jigsaw Academy Education Pvt. Ltd.

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

Models and Algorithms

• Modeling Terminology

• Linear Regression

• Logistics Regression

• Decision Trees

• MARS

• Rule Induction

• K-nearest

• Neural Network

• Genetic Algorithm

Analytic Methodology

• Problem definition

• Data selection

• Data exploration

• Data partition

• Data cleansing

• Data transformation

• Modeling

• Validation

• Deployment

• Assessment

• Re-start

Problem Definition

• Basics of problem definition

• Case study - Car Insurance

• Case study - Credit Cards

Analytic Tools

• Overview of Analytic Tools

• GUI based and Programming based

• Excel

• SAS

• R

• Others

Module: Introduction to Analytics

Page 8: Jigsaw Academy Data Scientist Course

Working with Big Data

© Jigsaw Academy Education Pvt. Ltd.

Big Data Overview

• 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

Hadoop • RDBMS Limitations

• No-SQL Databases

• History of Hadoop

• Why Hadoop

• Hadoop Ecosystem

• Big Data Applications

• Installation Modes

• Working with Hadoop

MapReduce • What is MapReduce?

• Map Process

• Reduce Process

• Anatomy of Map Reduce program

Hadoop Components • HDFS Overview

• HDFS Architecture

• HBASE Overview

• HIVE

• FLUME

Module: Big Data Module

RHadoop for Big Data • R & Hadoop Overview

• Why Rhadoop?

• Advantages

• Installation

• Configuration

• Sample Use Cases

Final Case Study • Case Study: Twitter Analytics

using HIVE and FLUME

Page 9: Jigsaw Academy Data Scientist Course

Statistics

© Jigsaw Academy Education Pvt. Ltd.

Statistics

• Introduction to statistics

• Summary statistics

– Mean

– Median

– Mode

– Variance

• Random Variables

• Probability

• Probability distribution

– Binomial

– Poisson

– Normal

Module: Statistics

• 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

Page 10: Jigsaw Academy Data Scientist Course

Tools Training

© Jigsaw Academy Education Pvt. Ltd.

Introduction to R

• 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

• R Interfaces

– Command line

– Graphical User Interfaces

– IDE

– Web Interfaces

• Advantages and Disadvantages of using R

Data Input

• Data Import

• Spreadsheet Like Data

• Statistical File Formats

• Databases

• Internet Data

• Data from Packages

• Using GUI for Data Import

Data Manipulation

• Transposing Dataset

• Conditional selection of rows, columns, variables

• Using Reshape

• Merging Datasets

Module: R

Data Exploration

• Types of Data in R

• Summarizing data in R

• Using GUI for Data Exploration

• Graphs in R

Page 11: Jigsaw Academy Data Scientist Course

Analytics Techniques

© Jigsaw Academy Education Pvt. Ltd.

Regression

• Basics of Regression

• Linear Regression

• Logistic Regression

• Interpretation of modeling results

• Violation of regression assumptions

• Insurance Case study

Decision Trees

• What are decision trees?

• Examples of trees

• Terminology in decision trees

• Data preparation for trees

• How to create a tree?

• 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

• 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

• Misleading patterns

• Biased population

• Data at wrong level

• Already known insights

• Un-actionable insights

Module: Analytic Techniques

Page 12: Jigsaw Academy Data Scientist Course

© Jigsaw Academy Education Pvt. Ltd.

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

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

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

Testimonials

Page 13: Jigsaw Academy Data Scientist Course

TRAINING METHODOLOGY

© Jigsaw Academy Education Pvt. Ltd.

Jigsaw Academy’s Online Education Platform

Virtual Classroom

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

• 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

Video interaction

Control options

Text interaction

Page 14: Jigsaw Academy Data Scientist Course

CONTACT US

© Jigsaw Academy Education Pvt. Ltd.

• Phone: +91-9243522277, +91-9008017000

• Email: [email protected]

• Website: www.jigsawacademy.com

• Blog: http://www.analyticstraining.com

• FAQs: http://jigsawacademy.com/faqs.html