Big Data Analytics Courses, Certification & Training Institute - Imarticus
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Post Graduate Program in Data Analytics

Comprehensive Curriculum Covering Data Science, Hadoop, R, Python, SAS, and Tableau

Experiential Learning via Case Studies and Hackathons in Partnership with Leading Analytics Companies

Assured Placements at Top-Tier Analytics Firms Through Extensive Career Support

Work on a Live Capstone Project Focusing on Real-World Business Problems for our Industry Partners

Classroom Program, Delivered at State-of-the-Art Labs in Leading Cities Pan India

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Classroom Training

Online Instructor-Led Training

Online Self Paced Videos

Post Graduate Program in Data Analytics

The Post Graduate Program in Data Analytics is a 450+ hour training course covering foundational concepts through hands-on learning of leading analytical tools such as R, Python, SAS, Hive, Spark and Tableau. Over the course of 3 semesters, candidates will not only acquire theoretical knowledge of data science tools, but will also gain exposure to business perspectives and industry best practices through case studies, in-class projects, a live capstone project, hackathons, guest lectures, and industry mentorship sessions.

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CURRICULUM

Experiential Learning
Real-world case studies, in-class projects and live capstone project to internalize key concepts

Industry-Endorsed Curriculum
Holistic, practically-driven curriculum designed by the industry to ensure job readiness

INDUSTRY CONNECT

Industry Mentorship
Dedicated industry leaders to guide you through any academic and career related queries

Imarticus Immersion
Exchange ideas and interact with industry experts at Imarticus’ alumni networking events

EMPLOYMENT ASSISTANCE

Career Services
Supercharge your employability through mock interviews, resume building, and assured placements at leading Analytics firms

Placement-Driven Hackathon
Competitive programming challenges and hackathons with additional placement opportunities awarded to winners

TECH ENABLED LEARNING

Smart Classrooms
Learning via technologically-enhanced classroom training, enhanced by live lecture recording and your very own cloud-based lab

LMS
Exclusive access to Imarticus’ Learning Management portal for life-long learning & networking opportunities

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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 8 industry projects across domains and build a portfolio of demonstrable work

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Mentorship

Senior industry professionals mentor you as per your customized needs & evaluate project submissions

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Placement Assurance

Get placed at leading Analytics firms with interview prep and opportunities

Data Analytics Course Curriculum

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

PG

Horizontal, Flat

6%
DATA ANALYSIS
10%
DATA SCIENCE
10%
BIG DATA and HADOOP
8%
FUNCTIONAL ANALYSIS
18%
R
13%
PYTHON
9%
SAS
5%
TABLEAU
4%
ASSESSMENT
17%
JOB READINESS

Data Analysis

  • Overview of Analytics
  • Data Analysis
  • Data Management

Programming Basics

  • Java Basics
  • Linux Commands
  • SQL Basics

Big Data and Hadoop

  • Hadoop Eco-system
  • HDFS, YARN, MapReduce
  • Pig, Hive, Hbase
  • Spark and Scala
  • MapReduce
  • Hbase
  • Sqoop and Flume – Data Ingestion
  • Using Oozie
  • Spark and Scala”

Data Science

  • Design of Experiments
  • Probability Theory
  • Linear & Logistic Regression
  • Time Series
  • Machine Learning
  • Bayesian Network & Neural Network Models

Functional Analytics

  • Project 1: Airline Trends and Revenue
    Management in Hive
  • Project 2: Customer Segmentation in Spark

Job-Readiness

  • Business Communication
  • Resume Writing
  • Quantitative Aptitude
  • Viva/ Mocks

R

  • Linear & Logistic Regression
  • Decision Trees & Segmentation
  • Time Series
  • KNN, Naïve Bayes, ANN, Support
    Vector Machines
  • Credit Risk Analytics
  • Association Rule Mining
  • Time Series
  • Naïve Bayes Algorithm

Python

  • Data Frame Manipulation
  • Natural Language Processing
  • Image Processing
  • Machine Learning
  • Visualization
  • K Nearest Neighbours Algorithm for
    Classification
  • Clustering and Webscraping

Functional Analytics

  • Project 3: Intrusion Threat Detection Model
  • Project 4: Property Price Prediction
  • Project 5: Home Loan Default Prediction Model
    in R
  • Project 6: Home Loan Default Prediction Model
    in Python

Job-Readiness

  • Course Review/Overall Evaluation
  • Qualitative Aptitude
  • Capstone Project Framework Induction

Base SAS

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

Tableau

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

Functional Analytics

  • Project 7: Retail Store Insights through Data
    Mining
  • Project 8: Visualization using Order Transaction
    Data for an Online Retail Company

Job-Readiness

  • Mock Interview/VIVA (1:1 Session)
  • Interview Preparation – HR & Domain
  • Mock Interviews – HR and Domain (1:1 Session)
  • Mock Interviews – External Industry Experts
  • Capstone 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

Kick-Start a Career in India’s Leading Banks & Wealth Management Firms

Training Methodology

The program is delivered using an innovative, experiential learning methodology that blends classroom lectures with self-paced instructor videos that you can consume at your own pace. You will not only gain theoretical knowledge, but also gain exposure to business perspectives and industry best practices through guest lectures, mentorship sessions, and project submissions.

PG

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CASE STUDIES

Complex business cases from real companies

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IN-CLASS PROJECTS

Analytics projects for in-class hands-on learning

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LIVE CAPSTONE PROJECT

Work on a live business problem, guided by a dedicated Project Mentor

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HACKATHONS

Solve real business problem in a competitive environment

24/7 Support

Get 24/7 access to your course material on our state-of-the-art learning management system; extended access to all course material after the batch ends, and a dedicated student hotline to 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.

You will spend approximately 60 hours of this program getting hands-on with industry projects and build a portfolio of demonstrable work.

  • Project 1: Store data analytics and Reporting using Hive
  • Project 2: Customer Segmentation using Spark Mlib
  • Project 3: Credit Risk Analytics Using Logistic Regression and Decision Trees
  • Project 4: Intrusion Detection using ANN/Ensemble Models
  • Project 5: Linear Regression using python – House Price Prediction
  • Project 6: Credit Risk Analytics Using SVM in Python
  • Project 7: Store Data Analytics in SAS
  • Project 8: Tableau to gain insight into titanic survival data

At the end of the program, candidates can choose from 3 Capstone Projects depending on the tool they prefer, and work on the same through structured mentoring and evaluation by industry experts.

  • Choose from 3 Capstone Projects in SAS, Python or R
  • A Project Synopsis is submitted
  • Project codes and Project Report Template is submitted
  • Project Presentation & Evaluation in front of an external Industry Panel of Senior Leaders
  • Project Presentation & Evaluation in front of an Industry Panel & Certification

Data Analytics Training Placements

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

The Career Assistance Services (CAS) team works hand in hand with you from the first placement session during the program launch right until the final mock interviews on course completion. We thoroughly prepare you to be interview-ready and ensure you land your dream job.

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“Speaking about my experience, I really loved and enjoyed every step of learning the Data Science with Imarticus. Continuous engagement in the deliverance of important knowledge with simultaneous practical exposure made me compatible with the learning experience. The curriculum is highly informative and outstanding by nature. Their learning atmosphere is highly unique. The trainers and the professors are equally supportive and are eager to clear your doubts and lacunas. By doing the Data Analytics course here, I secured a job for me.”

– Karen Soares

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“I believe Imarticus Learning is a great and outstanding institute. One who is looking forward to kick-start his or her career in Data Analytics needs to go for Imarticus. Their teaching faculty is highly experienced and deliver the knowledge effectively. Not only the curriculum is extensive and informative, but you get to work on the real-world problems related to Data Analytics. Whenever any doubts or confusion arises, you will find yourselves accompanied by an experienced faculty to solve the problems.”

– Febin George

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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

Imarticus Immersion

Imarticus Immersion is an industry-driven networking event that we organize for our students to provide them with an opportunity to:

Network with industry veterans

Gain valuable insights from industry speakers

Connect with Imarticus alumni group

Participate in the batch convocation ceremony

Mentorship


A Program Mentor is the one-point contact for a PG student for query-resolution and support throughout their learning journey with Imarticus.
Our program mentors will help you with:

Academic Assistance

  • Provide unparalleled 1:1 support and guidance
  • Help execute in-class assignments and projects
  • Discuss and identify learning gaps and offer solutions such as refresher sessions and one-on-one project feedback

Career Assistance

  • Maintain close interaction with students during the career assistance and placements phase of the program
  • Talk you through industry insights and best practices
  • Provide you with interview tips and job search advice

Monitor Progress

  • Set learning goals
  • Discuss your progress status with Trainers and other Industry Mentors on a regular basis to ensure consistent advancement

Research shows that through mentorship you are:

20%

more likely to get a raise

5x

more likely to get promoted

Source

Industry Advisors


The program is developed in consultation with senior Industry experts to ensure a high degree of relevance in accordance to the needs and demands of the industry.

advisor04

IQBAL KAUR

Ex- Target and Genpact

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advisor02

AMIT KHANNA

Managing Partner – YDatalytics (Antuit & Y Group)

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AKASH BHATIA

Founder And CEO, Infinite Analytics, Kyazoonga

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DIPAYAN SARKAR

Consultant & Sr. Data Scientist – Apple, Maersk

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Admission

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:

Admissions Process

Recent Graduates: BE, BTech, BSC IT, BCA, MCA, Bachelor or Master degree in mathematics/Statistics

Professionals: Engineers, Software and IT Professionals, Marketing and Sales Professionals, Managers

Age: Aspirants below the age of 25 with a maximum four years of experience

Step 1

Basic qualification check: Academic certificates

Step 2

Pre-assessment: Online aptitude test

Step 3

In person interview: Communication, motivation

Differed Payment Plans

Faculty

Arun Upadhyay

SAS and R

VIEW FULL PROFILE

Vinay Borhade

Python, ML, Deep Learning and R Programming

VIEW FULL PROFILE

Tharangini Vijay Kumar

Basic and Advanced Statistical Techniques

VIEW FULL PROFILE

Data Analytics Course Videos

  • 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
  • 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

< >

  • 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
  • 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

< >

FAQs

What is the duration of the program?
The PGP in Data Analytics is a 450+ hour, 5-month program done full-time (on weekdays).You will have five 4-hour classes each week.
What study material will be provided to us for the program?
The core learning will happen via classroom lectures at the training center where you registered. In addition, this program also comes with self-paced instructor videos that will supplement your learning. You will also have access to additional study material like recordings of classes, PowerPoint presentations, case studies, quizzes and eBooks on the learning portal.
You will be given extended 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.
What are the fees for the program?
The PGP in Data Analytics costs Rs. 2,75,000/-
You can pay by Credit card, Debit Card or Net banking from all leading banks. In the event you are unable to pay, we offer EMI loan options as well
What is placement-driven hackathon? Is there job assurance?
We will organize hackathons with our placement partners. The winners will get interview opportunity with the placement partners. We do not assure placement through these hackathons. We run separate placement drives for our students where we provide all support and interview opportunities to get them placed.
What is cloud lab?
Cloud lab is an online machine-agnostic virtual lab where you can create and run your projects. The lab provides the required coding environment through the browser, so you do not need a high configuration laptop. Cloud lab is a free service you get with this program. Will I get placed in the same company after completing live industry project? Live industry project is meant to give a real environment experience to the students where they get to work on a real project. However, Imarticus doesn’t assure job opportunity at that company even after successful completion of the project.
How will Program Mentor help me during the program?
The Program Mentor will work closely with you throughout the course to enable better learning experience by resolving your queries, connecting you with trainers and mentors, help you with any requests related to the program. They will also discuss your grades, attendance, and other key elements associated with your progress.

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