Genpact Data Science Prodegree Online Program- Learn R, Hadoop and Python

About Data Science Prodegree

The Data Science Prodegree, in association with Genpact as the Knowledge Partner, is a 200-hour online program covering foundational concepts and hands-on learning of leading analytical tools, such as SAS, R, Python, Hive, Spark and Tableau through industry case studies and project work. Over the course of the 4 semesters, candidates will not only gain theoretical knowledge of key data science tools, but also gain exposure to industry best practices via guest lectures, mentorship and 6 project submissions.

Genpact is a global leader in Analytics and works with over 1/5th of the Fortune Global 500 companies with revenues of $2.46 billion and 70,000 employees spread across 25 countries.

instructorled

Industry Collaboration

Cutting-edge program designed and delivered in collaboration with Genpact, a leader in Analytics solutions

SAS Course & Training Online: Imarticus

Leading Tools

Learn Data Science using SAS, R, Python, Hive, Spark and Tableau, through industry projects and case studies

SAS certification

Project-based

Get hands-on with 6 industry projects and build a portfolio of demonstrable work

Certification in SAS Programming: Imarticus

Guest Lectures + Mentorship

Guest lectures and mentorship by Genpact leadership on industry best practices

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Placement Opportunities

Get placed at leading Analytics firms with interview prep, mock interviews and recruitment opportunities

Collaboration with Genpact

The program is co-created with Genpact as the ‘Knowledge Partner’, and comes with a cutting edge industry-aligned curriculum, guest lectures, mentorship, and recruitment opportunities with leaders in the Analytics space.

The 200-hour online Prodegree delivers a deep understanding of Data Analysis and Statistics, along with business perspectives and cutting-edge practices using SAS, R, Python, Hive and Spark.

Comprehensive Analytics Coverage
Project-based Learning

A key differentiator of the Prodegree is the heavy focus on project work to gain practical understanding of key analytical concepts and tools. You will spend approximately 100 hours of this program getting hands-on with industry projects and build a portfolio of demonstrable work.

The Prodegree offers over 60 Hours of engaging Instructor-led video recordings that you can consume at your own pace, as well as over 130 hours of live instructor-led virtual classes which are conducted on weekends. In addition, you will spend approximately 80 Hours working by yourself or in groups on various projects.

Online Delivery
Placement Assistance and Mentorship

The Imarticus Careers Assistance Services (CAS) team provides a rigorous career and industry mentorship process that is customized to your needs. Built into the program, we also help you with interview preparation, resume building workshops, 1-1 mock interviews while also providing you access to our extensive corporate network and recruitment teams.

The Data Science Prodegree is delivered to you using an innovative learning methodology that blends instructor-facilitated live virtual classes, self-paced videos that you can consume at your own pace and project work.

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Self Paced Videos

Weekdays or weekends as per your
convenience Active, self-paced,
data-driven learning
112 Hours
View Video

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Live Virtual Classes

4 hours each on weekends at prescribed time
Interaction & query
resolution in real time
68 Hours
View Video

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Project Work

Project submission at the end of each semester.
Work on your own or in groups
to complete assigned projects
20 Hours
View Sample Project

View Sample Study Plan

Semester 1: Base SAS [42 Hours]
Base SAS [24 Hours]
Understanding Data- SAS [8 Hours]
BASE SAS – Store Data Analytics [8 Hours]
Project 1 Submission [2 Hours]
Semester 2A: R Programming [53 Hours]
R Basics [32 Hours]
Business Case: Managing Credit Risk [1 Hour]
Linear Regression [4 Hours]
Case Study on Loss Given Default using Linear Regression using R [4 Hours]
Case Study on Default Modelling using Logistic Regression using R [8 hours]
Case Study on Default Modelling using Logistic Regression using R [8 hours]
Semester 2B: R Programming [27 Hours]
Support Vector Machines (SVM) [4 Hours]
Case Study on Default Modelling using SVM using R [6 hours]
Business Case: Intrusion in IT Network [1 Hour]
Decision Tree & Ensemble Learning [8 Hours]
Case Study on Network Intrusion Detection using Decision Trees & Ensemble Learning using R [6 Hours]
Project 2 and 3 Submission [2 Hours]
Semester – 3: Python [28 Hours]
Data Structures in Python Used for Data Analysis [8 Hours]
Case Study on Default Modelling using Logistic Regression using Python [8 Hours]
Case Study on Default Modelling using SVM using Python [4 Hours]
Case Study on Network Intrusion Detection using Decision Trees & Ensemble Learning using Python [6 Hours]
Project 2 and 3 Submission [2 Hours]
Semester 4A : Hive & Spark [28 Hours]
HIVE Basics [5 Hours]
Business Case: Pricing Analytics [1 Hour]
Case Study on Pricing Analytics using HIVE [8 Hours]
SPARK Basics [5 Hours]
Business Case: Understanding Customer Life Cycle [1 Hour]
Case Study on Telecom Customer Churn using Spark [8 Hours]
Semester 4B: Tableau and Interview Prep [18 Hours]
Tableau Basics [8 Hours]
Interview and Resume Preparation [4 Hours]
Mock Interviews – HR and Domain [4 Hours]
Project 4, 5 and 6 Submission [2 Hours]

Project 4 – Pricing Analytics

  • Key Learning Outcomes – Big Data Analytics and Reporting using HIVE

Project 5 – Telecom Churn Analytics

  • Key Learning Outcomes – In Memory Big data and Logistics Regression using Spark

Project 6 – Reporting

  • Key Learning Outcomes -Visualization for Structured and Unstructured Data using Tableau

In each semester, candidates will get hands-on with industry projects and build a portfolio of demonstrable work. These projects will cover various tools and techniques and align to multiple domains and industries to ensure you gain a multi-faceted understanding of Data Science.

instructorled

Store Data Analytics

SAS Course & Training Online: Imarticus

Credit Risk Analytics

SAS certification

Pricing Analytics in Bullion/ Commodities

Certification in SAS Programming: Imarticus

Network Intrusion Detection Analytics

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Telecom Churn Analytics

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Visualizing Vanilla, Analytical, Un/Structured Data

HOW DOES THIS WORK?

  • Candidates will work in groups to complete the projects during the week. We estimate you will need to spend around 20 Hours per project.
  • There will be a mandatory submission of project work at the end of each semester. Your project will be evaluated by your Instructors as well as representatives from Genpact.


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TOP COMPANIES HIRING FOR BUSINESS ANALYTICS

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The Data Science Prodegree is ideal for students and professionals who are interested in working in analytics industry and are keen to enhance their technical skills with exposure to cutting-edge practices:

This course is ideal for:

fresher

Recent Post Graduates

Bachelors or masters in science, math, statistics or computer applications/IT

admissions

Experienced Professionals in programming or Related Fields

With Less than Four Years of Experience

professionals

Individuals looking for Global Certifications

To enhance their Resume

Enter the exciting world of Analytics. Call 1800-267-7679

intro

This interactive demo of the virtual class gives you an insight on what to expect during our online web sessions

intro

Genpact talks about the importance of learning Data Science in the 21st century and the role of a Data Scientist

SAS

This video explains the importance of Data Science and why Imarticus partnered with Genpact to deliver it

LMS

Genpact speaks on the Data Science Prodegree and why they chose to partner with Imarticus Learning


Learn why more and more companies are adopting SAS as a tool for Data Analytics to gain a competitive advantage.

Explore the growing demand for analytics in Marketing and the converging trends that make it possible.

Data Science – Learn more about the ‘Sexiest Job of the 21st Century’ and the employment opportunities it presents.

Read about the Change Management (Analytics), and various case studies on new recruiting methodologies. Also, includes a introduction to our newly formed Analytics Advisory Council.

Why the Prodegree?


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postgraduate

Postgraduate Equivalent

The Prodegree is a more relevant, focused and faster route to developing role specific skills that elevate your resume and help you build a lucrative career in Analytics in light of its industry partnerships.

industryfocused

Industry focused education

The Imarticus Prodegrees are designed in partnership with a leading corporate brand. Curriculum design, lectures, mentorship, project reviews and recruitment are done in collaboration with the company providing the candidate with unique insight and competitive edge.

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3x Online Engagement

Our state of the art learning platform comprises live webinars, guest lectures, and comprehensive industry mentorship which ensures seamless learning leading to an industry completion rate of 75% compared to an industry average of 20%.


The Analytics Virtual Lab


Real world experience means that one gets to work on real machinery in a real production environment. Quite often the experience of working in a real environment is far different from that of a simulated one. Obviously, the real environment is valued more by the Big Data world as opposed to the simulated one. To make that possible, we have come up with cloud based learning in a virtual lab setup which comes pre-installed with the necessary technology stack, including Apache Hadoop, Apache Spark, Kafka, Python, R and other related technologies.
Practicing will not require long, arduous installations anymore. Just enroll for the program and start learning any of the many analytical or big data tools available to you anytime, anywhere on the cloud.
  • Connect from anywhere, anytime

  • Agnostic of machine configuration

  • Real world production experience

  • No installation or compatibility issues

  • Centralized datasets


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Careers Assistance

Imarticus provides 100% assistance throughout the program to guide and help navigate ample career options.

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RESUME BUILDING

Refining and polishing the candidate’s resume with insider tips to help them land their dream job

interview-prep

INTERVIEW PREP

Preparing candidates to ace HR and Technical interview rounds with model interview Q&A

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LEADS AND REFERENCES

We assist you with leads and references of Analytics opportunities available in this space from various public and private networks.

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Mentorship

Industry experts from leading companies advise and mentor students in their journey towards job-readiness. A dedicated mentor will be assigned to every student. Senior level industry professional, with 10+ years of experience in Analytics Firms.

Q&A

Q&As and Guest Lectures

A more thorough understanding of the subject matter

evaluation

Evaluation of Project Work

1:1 attention and evaluation of project work with detailed feedback

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Career Guidance

Doubt clearing about the industry and career opportunities

Faculty

  • arun

    Arun Upadhyay

    Over 14 years in Information Technology and has conducted SAS training for Infosys, Wipro, IBM, Genpact, ICICI Bank, Reliance Mutual Fund, A certified, accredited IT professional who has successfully trained more than 10,000 students in different technologies like SAS and R. He has cleared many Microsoft international certifications such as MCAD, MCPD, MCTS etc. and is also a Microsoft-certified trainer.

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    Mohan Rai

    Mohan has 10 years of experience in Core Analytics (Sales & IT). His key domain expertise lies in domains ranging from Banking, Construction, Real Estate, Automobile, Component Manufacturing and Retail. He has also worked with verticals ranging from Training, Research, Sales, Market Research, Business Consulting, Sales Planning, Market Strategy and IT. Mohan is a Director for S & R Analytics involved in Delivery of Analytics Consulting/Training and SIP Partners of TCS. He is also a visiting Faculty for Analytics at various Colleges and Institutes. Mohan holds degrees in Business Analytics and Intelligence from IIM-Bangalore, MBA in Marketing and BSC in Statistics.

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    Yogesh Parte

    Yogesh is a research engineer with over 14 years of experience in algorithmic development and proof of concept (PoC) demonstration using MATLAB, C/C++, Python, R-systems software. He is the Founder of Y P Consulting Services, which provides specialized services and software solutions in the field of innovation engineering and technology applications. Previously, he has worked as Post doctoral researcher at University of Paul Sabatier and Research and development engineer at Modartt S. A. in Toulouse, France. Yogesh holds a PhD. In Applied Mathematics from University of Paul Sabatier , France and has over 30 awards for academic excellence.
  • arun

    Ratheen
    Chaturvedi

    Ratheen has worked in various fields in the Analytics domain for the last five years and has handled Consumer Electronics and Manufacturing projects. In his current role as a Trainer, he conducts trainings on various analytical tools like SAS, R and Python. Ratheen has completed his B Tech from IIT Kanpur and his MBA from Queen’s University. He has two SAS certifications, SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential and SAS Certified Base Programmer for SAS 9 Credential.

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    Satya Srinivas

    Satya has 25 years of experience aligning multi-million dollar Information Technology deployments with business strategy and operational processes for Fortune 1000 companies. In the past he has been a Management Consultant & a negotiator and has consulted in the areas of performance management in enterprise architecture, data mining & analytics, machine learning, pattern recognition, social media analytics and big data management and analytics for several start-ups as well as major corporate houses like Infosys and IBM. Satya is a BE, Electronics and Communication from University of Mysore and a MS, Computer Engineering from Florida Atlantic University.

    arun

    Sandeep
    Agarwal

    Sandeep has over 18 years of experience in IT and extensive hands-on expertise in application development involving Analysis, design, development and maintenance with 10+ experience in Data Mining and Business Intelligence in RDBMS system. He has worked across multiple business domains such as Manufacturing, Retail, Banking and Insurance and experience with large-scale, distributed systems design and development with strong understanding of Big Data.

Testimonials

  • Sidhartha ShishooVP and People Function leader, Analytics and Research, Genpact
    “Big data and analytics are altering the business landscape in which we operate. In attempting to meet the subsequent talent challenges, the Prodegree is a notable step towards building specialized skillsets and helping professionals gear up for the future”

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FAQs

What is the format of the program?
The Data Science Prodegree in association with Genpact as the Knowledge Partner is a 200-hour online program teaching foundational concepts and hands-on learning of leading analytical tools through:

  • Self-Paced Videos
  • Live Virtual Classes
  • Industry case studies and project work

Is an online training program right for me?
Virtual learning is recommended for candidates if:

  • You are comfortable with self-study
  • You want to learn at your own pace, anywhere and anytime
  • You do not require constant monitoring or follow-ups by instructors

What are the key topics that get covered in the degree?

  • Basic understanding of Business Analytics and Statistics
  • R, Python, Base SAS, Hive, Spark
  • Hands-on Projects: Store Data Analytics, Credit Risk Analytics, Network Intrusion Detection Analytics and more

What study material will be provided to us for the program?
The core learning will happen via 112 hours of Instructor-led Virtual Classes on weekends. You will also be additional reading material like Videos which you can consume at your own pace, recordings of previous virtual classes, PowerPoint Presentations, data sets, case studies and eBooks on the learning portal.

You will be given life-long access to a fully integrated online learning portal where all your learning materials will be uploaded. You will need to log in to the learning portal using the credentials provided and navigate through the portal as required.

Can you give us some more details on the project work?
A key differentiator of our Prodegree is the heavy focus on project work to gain practical understanding of key analytical concepts and tools. You will spend approximately 100 hours of this program getting hands-on with industry projects and build a portfolio of demonstrable work. Projects include:

  • Store Data Analytics
  • Credit Risk Analytics
  • Pricing Analytics in Bullion/Commodities
  • Network Intrusion Detection Analytics
  • Visualizing Vanilla, Analytical, Un/Structured Data
  • Telecom Churn Analysis

You will work in groups to complete the projects during the week. We estimate you will need to spend around 15 Hours per project. There will be a mandatory submission of project work at the end of each semester. Your project will be evaluated by your Instructors as well as representatives from Genpact.

What are Webinars?
Webinars are live virtual classroom sessions that involve you, other students and an instructor. During these real time webinars, instructors will review concepts with the aid of case studies. There will be real-time participation on the part of students who can also use this time to get their doubts clarified.
How often do I need to visit the Imarticus center?
The Data Science Prodegree is conducted virtually via the Internet. You will not be required to be physically present at the Imarticus center under normal circumstances.
What certification will I receive on completion?
You will receive the industry endorsed Data Science Prodegree certification, which will be co-branded with Genpact.
What if I miss a class?
The course features 112 hours of live instructor led classes and another 68 hours of recorded videos. You can view the videos, solve quizzes and do your projects at any time that is convenient to you. The live virtual classes are held for 4 hours on Saturdays and Sundays at a prescribed time, where the entire batch can log in and interact with the Instructor at the same time. If you are not available for the virtual classes on weekends, the same are also recorded and uploaded on the LMS. You may refer to these recordings to ensure you don’t miss out on your learning.
What are the fees for the program?
The Data Science Prodegree costs Rs. 55,000.
You can pay by Credit card, Debit Card or Net banking from all the leading banks. In the event you are unable to pay, please contact 1800-267-7679 for further assistance.

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