Data Analytics courses by jigsaw academy

I was sceptical in the beginning about

taking an online course but one telephonic

conversation with Gaurav and an ex-

student, and I was fully set to take the

plunge. Things that set it apart from other

courses: Exceptionally energetic and

knowledgeable faculty, challenging

assignments, real-life examples and

datasets, application based analytic

approaches etc;

Sheeba Sekharan

Strategy Cell, Jaypee Group

I became a fan of this course. It’s actually a

knowledge building and career building

course. It is designed in such a way, that

you cover almost every section of analytics.

It’s a result of Sarita’s continuous support

and help, that I could get into an analytics

company, like HSBC. Thanks Jigsaw..:)

Smriti Singh, Analyst HSBC

What our students say?

The Foundation course has been designed by industry experts who have applied

analytics to solve business problems in a variety of fields like retail, FMCG,

financial services, telecom and health care. Our instructors use their real-world

experiences to teach you analytical skills that are most valuable at the work

place.

Course Duration: 12 weeks

Workload: 10 to 15 hours a

week

Foundation Course in Business

Analytics

Who should take this course?

Professionals looking to learn data analytics skills

Students looking to pursue data science as a career

By the end of this course, you will -

You will acquire knowledge of statistical concepts, analytical skills and

analytic tools (Excel and SAS language).

You will be able to use statistical techniques to analyze data to make

business decisions

Pre-requisites: No prior knowledge of Statistics, SAS or analytic techniques

is required.

Visit http://www.jigsawacademy.com/jigsaw/courses/foundation-analytics to

Register for the Foundation Business Analytics certification course

Access additional information on the course and the certification

© Jigsaw Academy Education Pvt. Ltd.

Some of the companies where our students are placed…

Become a Data Scientist

“The best new job in America” according to CNN

“The sexiest job in the 21st

century” according to Harvard Business Review

http://www.linkedin.com/profile/view?id=32282526&authType=name&authToken=mdv2&trk=hb_upphoto%7Cn%7C2043286%7C363486%7C267742

http://www.linkedin.com/profile/view?id=32282526&authType=name&authToken=mdv2&trk=hb_upphoto%7Cn%7C2043286%7C363486%7C267742

http://www.jigsawacademy.com/jigsaw/courses/foundation-analytics

Useful Links

Course Page:

http://www.jigsawacademy.com/jigsaw/courses/foundati

on-analytics

Placement assistance:

http://www.jigsawacademy.com/analytics-placement

Course Faculty: http://www.jigsawacademy.com/faculty

Student Testimonials:

http://www.jigsawacademy.com/testimonials

Sample Video:

https://meet99498248.adobeconnect.com/_a1011438753/

p55fcg7eyqz/

CONTACT US

Website http://www.jigsawacademy.com

Blog http://www.analyticstraining.com

E-mail [email protected]

Phone +91-92435-22277; +91-90080-17000

FAQs http://jigsawacademy.com/faqs


http://www.jigsawacademy.com/


http://www.analyticstraining.com/


mailto:[email protected]


http://jigsawacademy.com/faqs


This certification course has been designed by R experts – people who have used

R to solve a variety of business problems in domains like retail, financial

services, telecom and healthcare. Predictive modelling techniques like

regression and cluster analysis are covered through case studies on real business

data. Our instructors use their real-world experiences to turn you from a novice

analyst to a certified data scientist.



week


Nakul Dogra, Research manager at IMRB

Data Scientist Certification: Learn Big data analytics using

R and Hadoop

“I wanted to learn R to make myself more marketable. After doing a lot of online research and almost paying $5000 for one of the courses, I am very glad I stumbled upon the Jigsaw website and Ajay’s course on R. The content is awesome and easy to understand.”


Professionals looking to learn big data analytics skills

Students looking to pursue data science as a career


Acquire a knowledge of statistical concepts, analytical skills and

analytic tools (R and Hadoop).

Be able to use statistical techniques to analyze data to make business

decisions

Pre-requisites: No prior knowledge of Statistics, R or analytic techniques is

required.

“I found the R course easy to follow. The course covered a lot of different installations of R, which helped me choose the right one for me. Even though I am in a different time zone, I never found that to be an issue.”

Anupam Vats, Business Development, Brazil

Visit http://www.jigsawacademy.com/jigsaw/courses/data-science-big-data-analytics-R-

hadoop to

Register for the Data Science and Big Data Analytics certification course








http://www.jigsawacademy.com/jigsaw/courses/data-science-big-data-analytics-R-hadoop



Useful Links

Course Page:

http://www.jigsawacademy.com/jigsaw/courses/data-

science-big-data-analytics-R-hadoop



Course Faculty:

http://www.jigsawacademy.com/faculty



Sample Video:

https://meet99498248.adobeconnect.com/_a10114387

53/p55fcg7eyqz/

CONTACT US




Phone +91-92435-22277; +91-90080-17000











Jigsaw Academy aims to meet the growing demand for

talent in the field of analytics by providing industry-relevant

training and education to develop business-ready

professionals

About Jigsaw Academy

• 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

• Provides critical soft skills and project management trainings that are sought

after by employers and are not usually included with technical training

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

field of analytics, marketing, off-shoring and education


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

Analytics with R


Objective

• This course is designed to provide a basic introduction to R, and its use in exploring and analyzing data.

• We will cover the different R installations and interfaces.

• We will cover regression analysis in R using case studies.

Pre-requisites

• Participants need to have a good understanding of the data manipulation and data exploration methodology.

• They should also have an understanding of regression analysis.

Who should attend?

• If you are an analyst seeking to – build skills on R, the most popular open source analytic tool in the world

– Analyze large data sets and do not have access to proprietary tools like SAS, Knowledgestudio, KXEN etc.

Analytics with R


Program Duration: 5 weeks, 40 hours

Class Room Sessions: 20 hours

Lab Sessions: 20 hours

Location: Virtual classroom

Class Timing: Saturday and Sunday, 2 hours each

Program Fee: Rs. 20000 (Indian residents)

Program Fee: $ 450 (foreign nationals)

Analytics with R

Analytics with R


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

Data Exploration

• Types of Data in R

• Summarizing data in R

• Using GUI for Data Exploration

• Graphs in R

Module: Analytics with R

Class Room Sessions: 20 hours

Lab Sessions: 20 hours

Regression modeling using R • Logistic Regression

• Linear Regression

• Creating a model and Scoring a

model

• Understanding Model Output

(Coefficients, Fit, Residuals, R square,

P Value)

Clustering Analysis in R How to export data? • Exporting Graphs

• Saving code and output

• Exporting using GUI

Training Methodology


Jigsaw Academy’s Online Education Platform

Virtual Classroom

Jigsaw Academy uses Educomp’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

Benefits of Virtual Classroom


Incomparable convenience and flexibility - You can access a virtual classroom from

home, office, internet café or any other place which has an internet connection.

Access from anywhere - You don't even need to waste time traveling to the training

center. We bring it you right at your desk.

Access to global faculty - Virtual classrooms help us bring experienced faculty from all

over the world to you.

Repeat the sessions multiple times - You don't need to fall behind or spend extra time

catching up if you miss a class. All sessions in our virtual classrooms are recorded. You

can watch and listen to the entire session at any time.

Jigsaw’s Virtual Lab


The virtual lab allows students to gain hands-on

experience on analytic tools as well as business case

studies and evaluation exercises.

Students use a remote desktop connection to log in

to our virtual lab. Works as if the tools as well as

the case studies are on your own machine.

Access our virtual lab from any computer with an

internet connection.

Do the lab sessions and evaluation exercises at a

time of your convenience. Complete flexibility in

scheduling.

Faculty Profile


Abhirami Sambantham

Abhirami holds a Master's degree in information technology and management from

the University of Texas at Dallas. After spending some time working in the field of

healthcare analytics, she decided to make a move into the field she is really

passionate about - teaching. She has significant experience with SAS and R, and

trains students on advanced modelling techniques using these tools. Abhirami also

consults for various domains such as healthcare, retail and financial services

Faculty Profile


Gaurav Vohra

Gaurav has over a decade of experience in the field of analytics and has worked across multiple verticals including

financial services, retail, FMCG, telecom, pharmaceuticals and leisure industries. Gaurav likes to work with different

analytic tools including Knowledgestudio, SAS, SPSS, Statistica, KXEN, WPS and CART. He is an MBA from IIM

Bangalore.

Sarita Digumarti

Sarita has over 10 years of extensive analytics and consulting experience across diverse domains including MFCG,

retail and healthcare. She has worked in both India and the US, helping clients tackle complex business problems

applying analytical techniques. She has a Master’s degree in Quantitative Economics, from Tufts University, Boston,

and a PG Diploma in Management from T.A. Pai Management Institute, Manipal.

Upasana Gupta

Upasana is a senior analytics professional with 10 years of experience in marketing, risk, CRM and decision

management, largely within the BFSI sector. She has significant experience in developing cutting edge analytics

solutions using statistical/ quantitative tools and techniques. Her areas of work include database Marketing, Risk

analytics, MIS and Data analytics. She holds an M.Phil. in Operations Research from Delhi University.

Testimonials


A very very good course, excellent faculty and varied industry case studies. I recommend this course to anyone

looking to improve their statistics knowledge and to use statistical techniques in their daily work life for making

better business decisions. The faculty has excellent knowledge on the topics being covered and the assignments on

live case studies force you to think beyond the class room. Overall an excellent course.

Jagadeesh Yaramada, student at XLRI Jamshedpur

The course provides good exposure to real life cases and situations where analytics has or can play a role. The

support provided by the faculty is reliable and very time bound. The "virtual class room " technology is great so you

don't miss not being in a class room. I would recommend this course to anyone who has some interest in Analytics.

You will be on the right track if you start here.

Subhajyoti R., professor at XIMB

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

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 fulfill 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

Catch the analytics boom!


Global giants like Microsoft, IBM, Dell, Citibank, HSBC, Google, Amazon have all established centers for analytics in the country.

The global analytics market is expected to reach $31 billion by 2011. An IBM study revealed that 83% of business leaders identified analytics as a top priority for their businesses.

Contact Us


Phone: +91-9880544099, +91-9008017000

Email: [email protected]

Website: www.jigsawacademy.com

Blog: www.analyticstraining.com

FAQs: http://jigsawacademy.com/faq/




http://jigsawacademy.com/faq/

http://jigsawacademy.com/faq/

The Retail Analytics course is designed and taught by industry experts with

extensive experience directly in retail and in application of analytics within the

domain. The emphasis in this course is on developing a comprehensive and

intuitive understanding of retail as a business and how and where the

application of analytics helps retailers.



week


Nakul Dogra, Research manager at IMRB

Advanced Certification in Retail

Analytics

“Jigsaw faculty is always

knowledgeable and seem like they

enjoy teaching. Anshuman's course is

filled with real life anecdotes and

business examples which is what

makes it so interesting. I highly

recommend this course.”


Professionals looking to learn big retail analytics skills

Those who have built predictive models on large data sets and are

looking to enhance their knowledge in the retail domain


Acquire a thorough and intuitive knowledge of the retail domain

Get hands-on experience in application of retail analytics through a

series of case studies on category management, customer profitability

analysis, marketing mix modeling and store clustering using the SAS

language

Pre-requisites: Participants need to have knowledge of the analytics

methodology as well as popular analytic techniques such as regression and

clustering. Participants should have working knowledge of the SAS tool.

“The course is very well structured.

Anshuman uses a lot of industry

examples which make it easier to

follow the course. By far the most

interesting course I have ever done!”

Pankaj Narotra, Sales

coach at HSBC

Visit http://www.jigsawacademy.com/jigsaw/courses/retail-analytics-3 to

Register for the Data Science and Retail Analytics certification course








http://www.linkedin.com/profile/view?id=76882437&authType=name&authToken=tf_9&trk=hb_upphoto%7Cn%7C2043286%7C851936%7C312842

http://www.jigsawacademy.com/jigsaw/courses/retail-analytics-3

Meet your Instructor

Anshuman Acharya Anshuman is a graduate of IIT-Kanpur and IIM-Bangalore with over eleven years of experience.

For the past five years, he has been with the India operations with Walmart India, since the

inception of their country operations, and worked across finance, strategy, merchandising and

supply chain. He also has four years of experience in CPG and retail analytics, consulting

global CPG manufacturers and US retailers across formats.

Useful Links

Course Page:

http://www.jigsawacademy.com/jigsaw/courses/retail

-analytics-3



Course Faculty:




Sample Video:


53/p55fcg7eyqz/

CONTACT US




Phone +91-924-3522277; +91-90080-17000











The Financial Analytics course is designed and taught by industry experts with

extensive experience in application of analytics within the financial domain. The

emphasis in this course is on application of analytics in the risk and marketing

functions. The course provides a flavour of the industry through a series of case

studies on campaign management, credit scoring and fraud detection using the SAS

language.



week


Umang Chugh, MBA

Asian school of

management, Manila

Advanced Certification in

Financial Analytics

“I highly recommend the financial

analytics course. The case studies on

credit scoring and fraud were very

informative. I have become a fan of video-

based classes now.”


Professionals looking to learn financial analytics skills

Those who have built predictive models on large data sets and are

looking to enhance their knowledge in the retail domain


You will acquire knowledge of the financial services domain with a focus

on banking, credit cards, loans and insurance

You will get hands-on experience in building regression models and using

other statistical techniques on real business data sets to solve real

business problems.

Pre-requisites: Participants need to have a knowledge of the analytics

methodology as well as popular analytic techniques such as regression and

clustering. Participants should have working knowledge of the SAS tool.

“This course provides value for time

and money. The faculty is highly

experienced and the case studies

were very useful. Building models on

real life data really helps in terms

of confidence”

Anupam Vats, Onmobile,

Brazil

Visit http://www.jigsawacademy.com/analytics-courses/financial-analytics to

Register for the Financial Analytics certification course








http://www.jigsawacademy.com/analytics-courses/financial-analytics

Meet your Instructor

Subhashini Tripathi

Subhashini has 10 years of diverse experience in the Banking and Financial Services Industry,

across Risk Management, Business and Marketing Analytics and Designing Management

Information Systems. The integration of Analytics and BI with Business Strategy is an area of

special interest. She has handled both secured and unsecured loan/cards portfolios with GE

Money, Standard Chartered Bank, Tata Motors Finance and Citi GDM.

Useful Links

Course Page:

http://www.jigsawacademy.com/analytics-

courses/financial-analytics



Course Faculty:




Sample Video:


53/p55fcg7eyqz/

CONTACT US




Phone +91-924-3522277; +91-90080-17000










Documents

Data Analytics courses by jigsaw academy