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This program has been designed to help meet the expanding needs for these "Data Scientists" who are skilled in the utilization of a unique blend of Science, Art and Business.

Venues for Data Science: Mumbai, Pune, Bangalore, Chennai, Delhi, Hyderabad & Kolkata


Many Corporations have dramatically increased investments in their "digital enterprises" in the past few years. It has been estimated that by 2020, IT departments will be monitoring 50 times more data than they are today. This tidal wave of data is driving unprecedented demand for those with the skills required to manage and leverage these very large data sets into a competitive advantage.

These professionals are skilled in automating methods of collecting and analyzing data and utilizing inquisitive exploring techniques to discover previously hidden insight from this data that can profoundly impact the success of any business.


Academically Rigorous: EduPristine is known for classroom training and project-based learning. This training is no exception. The program is designed and delivered by the experienced faculty and data science professionals who teach at the EduPristine campus

Live Classes: Unlike a typical classroom learning experience, these classes are delivered using standard practices. EduPristine blends live, face-to-face classes with top-notch platform facilitates.


Individuals with a bachelor's degree in engineering, science, maths/statistics, finance, computer science, accounting or marketing who are intrigued by statistical and analytical practices may excel in this field

  • Basic Statistics methods used in business performance measures
  • Strong interest in data science
  • Hands-on experience on Core Java & Unix
  • Good analytical skills to grasp and apply the concepts in Hadoop


Module I - Big Data & Hadoop (60Hrs Classroom Training)
  • Basic Java & Introduction to Hadoop Technology.
  • Introduction to Unix and Basics of Hadoop
  • Introduction To Hadoop Distributed File System (HDFS).
  • Understanding Pseudo Cluster Environment
  • Understanding - Map-Reduce Basics and Map-Reduce Types and Formats
  • HIVE
  • PIG
  • Live Project I
  • Live Project II
Module II - Business Analytics (50Hrs Classroom Session)
  • Introduction and Data Analytics
  • Linear Regression
  • Logistic Regression
  • Decision Tree and Clustering
  • Time Series Modeling
  • Logistic Regression
  • Market Basket Analysis
Module III - Case studies (20Hrs Classroom Session)
  • Cross Sell Model
  • Market Mix Modeling
  • Churn Analytics
  • Buy Till You Die Model
  • Customer Lifetime Value Analysis
  • Telecom Model to Estimate Bill
Module IV - Data Visualization (20Hrs Classroom Session)
  • Introduction
  • The visualization design methodology
  • The Data Visualization Process
  • Working with Single Data Sources
  • Using Multiple Data Source
  • Using Calculations in Tableau
  • Comparing Measures Against a Goal
  • Tableau Geo coding,Advanced Mapping
  • Showing Distributions of Data
  • Statistics and Forecasting
  • Dashboard Best Practices
  • Sharing Your Work
  • Case Study
  • Exam/Exam Prepration
Module V- Big Data TRENDS
3Hrs Online interactive session on every 2nd & 4th Sunday of month to cover new topics in Big data & Industrial Case studies

  • Access to Hadoop trends for a year.
  • 4 classroom workshops in a year in 5 cities to cover important topics
  • 5 Cities for workshop- Mumbai, Pune, Banglore, Kolkata and Delhi only


Classroom Training

Get trained by topic experts with interactive learning in small batches.

Online Live Instructor base training

Learn Concepts once again though Live Online sessions.

Exam Preparation Session

Prepare rigorously before global certification exam.

Online Materials

This course serves as an introduction to the interdisciplinary and emerging field of data science. Students will learn to combine tools and techniques from statistics, computer science, data visualization and the social sciences to solve problems using data

Assignments & cases

Work on real time cases from different domains.

24x7 Online Access

Access to Course Material (Unlocked Excel Models, Presentations, etc.)

Doubt Solving By Experts

AWrite to us and get your doubts solved by our experts within 2 business days. You can also initiate a discussion by posting it on active forums.

Online Content

Download the study notes to supplement subject wise video tutorials & webinar recordings


A reference to get ahead in your career. At the end of the course, you will receive a Certificate of Completion.
Preparing for Data visulization global Certification
The Registration fees of 250$ to be paid by participant at the time of exam.


City Date Address Phone
(Toll Free)
Bangalore 15th Oct Sanctum Technology Pvt Ltd, #114, Al-Azeem Center, Opp. Raheja Arcade, Above Food World, Koramangla, Banglore - 560095 18002005835
Chennai 1st Oct Tensor Infotech, 51/21, Rukshana Towers III Floor, Hindhu Prahar Sabha Street, T Nagar, Chennai-600017 18002005835
Delhi 10th Sept EduPristine,#44,2nd Floor Regal Complex Outer Circle Connaught Place 18002005835
Hyderabad TBA Mirra Trade Centre, Panjagutta,Ethames Degree College, Hyderabad- 500082 18002005835
Mumbai 2nd Oct 7th Floor, 702, Raaj Chambers, Old Nagardas Road, Near Andheri Subway, Andheri East 400069 18002005835
Pune 20th Nov Symbioisis Centre for Distance Learning 1065 B,Gokhale Cross Road, Model Colony Pune - 411016, Maharashtra, India 18002005835
Kolkata 5th Nov Camac Street, Kolkata 18002005835
Data Science
Price 75000(6 Months EMI available)
Classroom Training
Online Live Instructor base training
Exam Preparation Session
Assignments & cases
24 * 7 Access to material
Discussion Forum


Data science is the study of the generalizable extraction of knowledge from data, yet the key word is science. It incorporates varying elements and builds on techniques and theories from many fields, including signal processing, mathematics, probability models, machine learning, statistical learning, computer programming, data engineering, pattern recognition and learning, visualization, uncertainty modeling, data warehousing, and high performance computing with the goal of extracting meaning from data and creating data products.

Data Science is not restricted to only big data, although the fact that data is scaling up makes big data an important aspect of data science.

You will have an opportunity to work through a data science project end to end, from analyzing a dataset to visualizing and communicating your data analysis.

Through working on the class project, you will be exposed to and understand the skills that are needed to become a data scientist yourself.

Identify, obtain, and transform a data set to make it suitable for the production of statistical evidence communicated in written form

Build models based on new data types, experimental design, and statistical inference

As per Harvard Business Review - Data Scientist: The Sexiest Job of the 21st Century Refer Link

Data science develops the skills required to build information platforms and analytical tools that reduce costs, increase profits, improve products, retain customers, and identify new opportunities.

Data scientists solve complex data problems through employing deep expertise in some scientific discipline. It is generally expected that data scientists are able to work with various elements of mathematics, statistics and computer science, although expertise in these subjects are not required. This course is part of both the developer learning path and the data analyst learning path.

To understand the content, derive value, and successfully complete this course, you should have,

  • Basic Statistics methods used in business performance measures
  • Strong interest in data science
  • Hands-on experience on Core Java & Unix
  • Good analytical skills to grasp and apply the concepts in Hadoop

You will be learning "Hadoop Technology", "R Studio", "SAS Language", "Excel" & "Tableau".

Yes , this is a purely classroom program conducted on weekends only.

The study warns there is a significant shortage of qualified workers to analyze Big data sets adequately. According to the report, a shortfall of about 140,000 to 190,000 individuals with analytical expertise is projected by 2018. The study also predicts a need for an additional 1.5 million managers and analysts by that same date to fully engage the true potential of the currently available data..

Data scientists are an integral part of competitive intelligence, a newly emerging field that encompasses a number of activities, such as data mining and analysis, that can help businesses gain a competitive edge. Ken Garrison, CEO of the industry group Strategic and Competitive Intelligence Professionals (SCIP), explains, "The field involves collecting data, analyzing it and delivering the data as intelligence that is actionable."

Every domain employers in analytics required: for example- 1. Large IT companies who have an Analytics practice; 2. Analytics KPOs; 3. In-House Analytics Units of large corporate; and 4. Analytics firms.

The following is only a representative list: 1. IT - Accenture, Infosys ,TCS,Wipro; 2. KPO - Genpact, WNS; 3. Citibank, Dell, HP, Spencers, Target; and 4. Niche: Brainmatics, Fractal Analytics, Mu Sigma.

It's an Online class which will cover any new updates or topics in Big data field. We keep this as an initiative for all old students to update on new techniques in the market. There will be a 3Hrs online interactive session on every 2nd & 4th Sunday of month for all X-students

New topics in Big data & Industrial Case studies will be covered. All the enrolled students of Hadoop plus will get an Access to Hadoop trends for a year. Additionally , 4 classroom workshops will be held in a year in 5 cities to cover important topics Cities for workshop- Mumbai, Pune, Banglore, Kolkata and Delhi only


We sincerely appreciate the flexibility of teaching and customized guidance that the institute provided each of us. The intensity and rigour of the programme prepares one for high pressure situations. We are very grateful for the very valuable training and assistance provided to us by EDUPRISTINE.

I appreciate largely to the content part which covers practical aspects of modeling which we used on day to day base. We worked on R software expressively. We also touch on SPSS, Ms- Excel software. Edupristine done great job in combing the entire course..

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