Post Graduate Program in Data Analytics | Online PG Courses and Diploma in India - Imarticus Learning

About Course

The PGP in Data Analytics is a 500+ hour program covering foundational concepts and hands-on learning of leading analytical tools, such as SAS, R, Python, Hive, Spark and Tableau as well as functional analytics across many domains. Over the course of 3 semesters, candidates will not only gain theoretical knowledge of data science tools, but also gain exposure to business perspectives and industry best practices through guest lectures and project submissions.

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Industry Endorsed

Cutting-edge curriculum designed and delivered in collaboration with leading Analytics experts

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Case Study-Based

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

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Blended Learning

250 hours of Classroom training supplemented by 100 hours of self paced videos and 60 Hours of live virtual classes

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Placement Assurance

Get placed at leading Analytics firms with interview prep and opportunities

Curriculum

The PGP in Data Analytics comes with a cutting edge industry-aligned curriculum, that offers the right blend of statistics, technical and business knowledge. The curriculum has been designed with multiple industry leaders to ensure that you learn exactly what employers need.

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Program Curriculum Designer Mohan Rai explains the Coverage for the Program

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4%
DATA ANALYSIS
10%
DATA SCIENCE
16%
HADOOP
20%
R
13%
PYTHON
10%
SAS
4%
TABLEAU
15%
APPLICATION-FUNCTIONAL ANALYTICS
8%
JOB READINESS

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Data Analysis

  • Overview of Analytics
  • Data Analysis
  • Data Management
  • Programming Basics

Data Science

  • Linear & Logistic Regression
  • Time Series
  • Machine Learning
  • Bayesian Network & Neural Network Models

Big Data and Hadoop

  • Hadoop Eco-system
  • HDFS, YARN, MapReduce
  • Pig, Hive, Hbase
  • Spark and Scala

Functional Analytics

  • Store Data Analytics
  • Customer Analytics
  • Pig, Hive, Hbase
  • Spark and Scala

Job-Readiness

  • Business Communication
  • Resume Writing
  • Assessments

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R

  • Linear & Logistic Regression
  • Decision Trees & Segmentation
  • Time Series
  • KNN, Naïve Bayes, ANN, Support

Functional Analytics

  • Credit Risk Analytics
  • Intrusion Detection
  • Default Modelling using Logistic Regression
  • Document Classification

Python

  • Data Frame Manipulation
  • Natural Language Processing
  • Image Processing
  • Other Predictive Modelling Tools

Job-Readiness

  • Course Review/Overall Evaluation
  • Preparation for Data Scientist Certification by EMC2

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SAS

  • SAS Basics
  • Reading and Manipulating Data
  • Data Transformations
  • Restructuring Dataset

Functional Analytics

  • Store Data Analytics
  • Best Practices for Dashboarding and Reporting

Tableau

  • Working with Tableau
  • Visualization in Depth
  • Data Organization & Mapping
  • Dashboards & Data Presentation

Job-Readiness

  • Interview Preparation – HR
  • Interview Preparation – Domain
  • Mock Interviews – HR and Domain
  • Final Project Presentation

At the end of the training period, you will receive an industry-endorsed certification from Imarticus.

In addition, the program will also thoroughly prepare you to clear the following external certifications, which will accelerate your career path in the Analytics space:

Prepares you to clear
INTERNATIONAL CERTIFICATIONS

Training Methodology

The program is delivered using an innovative, experiential learning methodology that blends classroom lectures with instructor-led live virtual classes and self-paced videos that you can consume at your own pace.

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Reshma Krishnan, Chief Faculty, explains the Imarticus Learning Methodology

View Sample Study Plan

STEP 1: INTRODUCTION

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SELF PACED VIDEOS

Instructor-led videos to explain key concepts Consume at your own pace | Best for Understanding

STEP 2: INSTRUCTION

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LIVE CLASSROOM TRAINING

Live Classes with the Instructor to Understand & Practice Concepts in our State of the Art Computer Labs

STEP 3: APPLICATION

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LIVE VIRTUAL CLASSES

Live Instructor-led Virtual Classes on Weekends to Learn Application of Concepts Learnt through Case Studies, Projects

STEP 4: REINFORCEMENT

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INDUSTRY PROJECTS OR INTERNSHIP

Reinforce your Learning through a Rigorous 1 Month Internship at Top Firms or Work on Approximately 100 Hours and 6 Different Industry Projects that Will be Evaluated by Leading Experts

24/7 Support

You will also have 24/7 cloud-based, machine agnostic access to all your software to practice at home; unlimited access to all course material on our state of the art learning portal for 6 months; and a dedicated Student Hotline with 24/7 support to help resolve queries.

Case Studies and Projects

You will spend approximately 100 hours of this program getting hands-on with industry projects and build a portfolio of demonstrable work.

ETL and data analysis on retail data
  • Converting data
  • Data manipulation
  • Statistical analysis

Classification of human postures using machine learning
  • Data extraction, classification
  • Feature selection
  • Decision trees

Prediction model for fuel economy using machine learning
  • Linear and multiple regression
  • Accuracy of data model

Retail trade analysis using Hive
  • Big Data
  • Data analysis
  • Combine results

Visualization of data by creating dashboards
  • Data formatting
  • Create storyline
  • Create visual dashboards

Placements

Upon completing the third semester, eligible* candidates can expect placement opportunities across top tier domestic and global Analytics firms.


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Our alumni talk about Imarticus’s training and placements


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“The course from Imarticus provides an in-depth understanding of Analytics with hands-on experience. The faculty makes sure to teach us from the scratch in a very effective manner. The best part about the course was that we get to work on datasets from multiple domains. The mock interviews were really helpful in cracking the interview. The Imarticus placement team take genuine interest in your career assistance.”

-Manasa Priya, Placed as Senior Analyst at Genpact


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“As a graduate in B.C.A and a fresher, the counsellors at Imarticus helped me with a thorough career counselling session and helped me understand the current industry requirements to have a successful career in Analytics. Thanking and appreciating the efforts put forth by Imarticus training and placement team.”

-Vinay Jagirdar, Placed as Senior Associate at WNS Global Services

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Business Intelligence Analyst

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Web & Social Media Analyst

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Business Analytics Specialist

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Research Analyst

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Business Analytics Tech Consultant

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Data Mining Specialist

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CRM Analyst

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Data Warehousing Specialist

LARGE IT COMPANIES WHO HAVE AN ANALYTICS PRACTICE

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ANALYTICS KPOs

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IN-HOUSE ANALYTICS UNITS OF LARGE CORPORATES

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NICHE ANALYTICS FIRMS

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The Career Assistance Services (CAS) team works hand in hand with you to further your career aspirations. From the first placement session during the program launch to final mock interviews, we thoroughly prepare you to be interview-ready through resume building sessions, interview preparation and finally mock interviews with a panel of industry experts.

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Shikha Sethi, Head of Placements talks about the placement process at Imarticus

GETTING STUDENTS JOB READY

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RESUME BUILDING

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

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INTERVIEW PREP

Preparing candidates to ace HR and Technical interview rounds with model interview questions and answers

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MOCK INTERVIEWS

Preparing candidates to face interview scenarios through 1:1 and panel mock interviews with industry veterans

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Access to our placement portal

Access to all available leads and references from open and private networks on our placement portal

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INTERVIEW OPPORTUNITIES

We provide 3-5 interview opportunities to ensure you get placed

Industry Advisors


Mentorship is unique to Imarticus Learning where industry experts from leading Analytics firms will advise and mentor you in your journey towards job-readiness. A dedicated senior level industry professional, with over 10 years of work-experience, will evaluate your project submissions and provide constructive feedback.

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MOHAN RAI

Director, SR Analytics
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LALIT AHUJA

Managing Director,
Mast Global Business Services
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AKASH BHATIA

Founder And CEO,
Infinite Analytics, Kyazoonga
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IQBAL KAUR

Ex- Target and Genpact
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Admissions

The PGP in Data Analytics is ideal for students and professionals who are interested in working in the analytics industry and are keen on enhancing their technical skills with exposure to cutting-edge practices:

Faculty


  • Arun_Faculty

    Arun Upadhyay

    Arun has over 14 years experience in Information Technology and has conducted SAS training for Infosys, Wipro, IBM, Genpact, ICICI Bank, Reliance Mutual Fund among others.

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    Arun is a certified, accredited IT professional who has successfully trained more than 10,000 students in different technologies like SAS and R. Having previously worked as a trainer for companies such as Aptech, NIIT, Ultramax Infonet Education Pvt. Ltd., and Vistaar Systems Pvt. Ltd., Arun is uniquely qualified with many international Microsoft certifications such as MCAD, MCPD, MCTS etc. and he is also a Microsoft-certified trainer.
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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 and R.

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    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 a research & development engineer at Modartt S. A. in Toulouse, France. Yogesh holds a PhD. in Applied Mathematics from University of Paul Sabatier, France and has won over 30 awards for academic excellence.
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    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

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    in data mining and business intelligence in RDBMS. He has worked across multiple business domains such as Manufacturing, Retail, Banking and Insurance and has experience with large-scale, distributed systems design and development with strong understanding of Big Data and Hadoop.
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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.

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    In the past he has been a management consultant and 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 & 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.
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  • Live Virtual Class Analytics by Mohan: This interactive demo of the virtual class gives you an insight on what to expect during our online web sessions
  • Industry Connect: Infinite Analytics CEO, Akash Bhatia offers his insights into the Analytics industry in India
  • A sneak peak into our classroom sessions: Faculty Arun Upadhyay teaches Data Manipulation
  • Self-paced Instructor video on Basics of R by faculty, Mohan Rai
  • Industry Connect Genpact on Data Science: Genpact talks about the importance of learning Data Science in the 21st century and the role of a Data Scientist

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  • Live Virtual Class Analytics by Mohan: This interactive demo of the virtual class gives you an insight on what to expect during our online web sessions

  • Industry Connect: Infinite Analytics CEO, Akash Bhatia offers his insights into the Analytics industry in India

  • A sneak peak into our classroom sessions: Faculty Arun Upadhyay teaches Data Manipulation

  • Self-paced Instructor video on Basics of R by faculty, Mohan Rai

  • Industry Connect Genpact on Data Science: Genpact talks about the importance of learning Data Science in the 21st century and the role of a Data Scientist

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Analytics Industry Report – 2016: Learn about Industry trends, salary and skillset requirements to make a successful career in Analytics

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

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

Learn about the growing demand for Big Data and Analytics, careers in Analytics and the reason why SAS, R, Python, Hadoop and Tableau are gaining in popularity.

Learn about functionalities & features of SAS

FAQs

What is the format of the program?
 The PGP in Data Analytics is a 510-hour program teaching foundational concepts and hands-on learning of leading analytical tools through:
• 250 Hours of Classroom training
• 100 Hours of Engaging HD Self Paced Videos
• 60 Hours of Live Instructor-led Virtual Classes
• 1 Month Internship or Industry Projects
What are the key topics that get covered in the program?
• Basic understanding of Business Analytics and Statistics
• Base SAS, R, Python, Hive, Spark, Tableau
• Functional Analytics: HR Analytics, Retail Analytics, Supply Chain Management, Credit Risk Analytics and Store Data Analytics
What is the duration of the program?
The PGP in Data Analytics is a 5 month program if done full time (on weekdays) and 10 months program if done part-time (on weekends). This does not include a 1 month internship or project work that is due for submission after the program.
What will be the class hours and how many days a week?
The hours and days will vary by center and whether you are doing the program full time or part time.
• Full time: 4 Days a week (between Tues-Sunday); 6 hours a day
• Part time: 2 Days a week (Sat-Sun); 4 hours a day
Please contact the center for more information.
What study material will be provided to us for the program?
The core learning will happen via 250 hours of classroom training at the center where you registered. Instructor-led Virtual Classes are held on weekends at designated times. You will receive additional study material like self-paced HD videos, recordings of previous Virtual Classes, PowerPoint presentations, data sets, case studies, quizzes 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.

What is the eligibility criteria for placements?
In order to be eligible for placement, candidates need to clear all Imarticus exams with at least 60% grades and ensure an average attendance of at least 80% in each of the three semesters.
I am currently working and cannot take up an internship role. What should I do?
We offer an internship primarily for entry-level professionals who have no experience. If you cannot or do not want to take up the 1 month internship, that is fine. You will be required to work on various industry projects as per your convenience and submit the same to us within 1 month. These projects will be evaluated by industry experts and then recommend whether you are eligible for placements.
What certification will I receive on completion?
 You will receive the industry endorsed PGP in Data Analytics certification. In addition, the program will also thoroughly prepare you to clear the following external certifications, which will accelerate your career path in the Analytics space:
SAS Certified Base Programmer for SAS 9
SAS Certified Predictive Modeler using SAS Enterprise Miner 13
Tableau Desktop 9 Qualified Associate Certification
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 fees for the program?
The PGP in Data Analytics costs Rs 2,10,000 for the full time course (weekdays) and Rs 2,35,000 for the part time course (weekends only).
You can pay by Credit card, Debit Card or Net banking from all leading banks. In the event you are unable to pay, please contact 18001037480 for further assistance.

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