Big Data Analytics Courses, Certification & Training Institute - Imarticus
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DATA ANALYTICS

SALARY, JOBS AND TECHNOLOGY TRENDS

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Post Graduate Program in Data Analytics

460 hours of Blended Program

Case Study based Methodology

8 Projects + 1 Capstone Project of Your Choice

Placement at leading Analytics Firms

Available in both, Classroom and Online Delivery Modes

Pay your program fee through EMI’s

Download BrochureENROLL NOW Watch Video

Classroom Training

Online Instructor-Led Training

Online Self Paced Videos

Data Analytics Certification Course

The Post Graduate Program  in Data Analytics is a 460 hour training course 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 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

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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 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

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 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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Reshma Krishnan, Chief Faculty, explains the Imarticus Learning Methodology

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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CASE STUDIES AND PROJECTS

Apply the Knowledge Learnt in Class through 8 In-Class Projects that Tackle Real World Problems across Various Domains

STEP 4: REINFORCEMENT

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CAPSTONE PROJECT

Reinforce your Learning through a Rigorous Capstone Project on a domain of your choice, which will be mentored and evaluated by industry 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.

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.


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“In my opinion, Imarticus is a very good institute. I preferred this institute to get the Data Analytics course done. They provide you with easily understandable basics of Data Analytics along with extensive exposure to the practical knowledge involved in this course. The teaching faculty was highly efficient and supportive as well. They provided a good exposure to the analytics domain by establishing a common ground between the theoretical knowledge and the project development opportunities, thus making you efficient in this course.”

– Nupur Deshmukh

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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

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.

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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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 upto 3 interview opportunities to ensure you get placed

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.

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IQBAL KAUR

Ex- Target and Genpact

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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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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:

Admission-Entrepreneurs

Recent Graduates

Bachelors or Masters in Science, Math, Statistics or Computer Applications/IT

Admission-Entrepreneurs

Experienced Professionals

With less than 4 years experience, looking to up-skill or change career paths

Admission-Entrepreneurs

Global Certifications

To enhance their resumes & build a portfolio of demonstrable work

Admission-Entrepreneurs

Recent Graduates

Bachelors or Masters in Science, Math, Statistics or Computer Applications/IT

Admission-Entrepreneurs

Experienced Professionals

With less than 4 years experience, looking to up-skill or change career paths

Admission-Entrepreneurs

Global Certifications

To enhance their resumes & build a portfolio of demonstrable work

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 format of the program?
The PGP in Data Analytics is a 460-hour program teaching foundational concepts and hands-on learning of leading analytical tools through:
• 400 hours of Classroom training
• 60 hours of Engaging HD Self Paced Videos
• 8 Industry Projects & 1 Capstone Project of your Choice
What are the key topics that get covered in the program?

• Basic understanding of Business Analytics and Statistics
• Base SAS, R, Python, Hive, Spark and Tableau
• Functional Analytics: HR Analytics, Retail Analytics, Supply Chain Management, Credit Risk Analytics and Store Data Analytics
What is the duration of the Data Analytics training course?
The PGP in Data Analytics is a  5 month program if done full time (on weekdays) and 12 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. The program is conducted 4 Days a week. Please contact the center for more information.
What study material will be provided to us for the program?
The core learning will happen via 400 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 meet following criteria:
• At least 80% Class attendance
• At least 60% Grades in Semester end Assessment (Vivas/Mocks)
• At least 60% Grades in Final Capstone Project Submission
• Resume Signed off by Domain Trainer
• All outstanding fees are paid
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 Data Analytics course?
The PGP in Data Analytics costs Rs 2,10,000 for the full time course (weekdays) and Rs. 2.2 Lakh 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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