Special Offer: Minimum 50% off on all courses till 25 Sept 2020

Course Overview

Master Certification Program in Data Science is a 6 months intensive job-oriented learning program designed to help you gain In-Depth knowledge in Data Science. This course is an advance learning course after completing Associate certification program. Through this Master in Data Science certification program, you will gain knowledge in Big Data with Hadoop, Big Data with Spark, Data Mining and Warehousing, Deep Learning, Reinforcement Learning, Natural Language Processing and Tableau. On successful course completion, you will expertise complete Data Science and you will be confident enough to solve any real time data science problems.

Key Highlights of the program

  • 5 months intensive training
  • Practical hands-on sessions
  • 20+ hands-on projects + 1 Capstone
  • One-on-One doubt clarification
  • Classroom as well as Live Online Classes
  • Lifetime access to self-paced learning

Course Advantage

Learning - Blended to Perfection

Solve real-world problems with hands on practicals via Industry based projects and detailed personalised feedback.

Personalized Mentorship

Receive guidance from Industry experts with one-on-one feedback on submissions of assignments.

Career Assistance

Build you resume, prepare for mock interviews and setup online portfolio with placement updates.


The program is aimed at candidates who:
  • has either completed or pursuing a Bachelor's degree with a minimum of 50% aggregate marks or equivalent.
  • are comfortable using a programming language
  • are familiar with college-level mathematics and statistics


  • Introduction to Big Data
  • Foundation and Environment
  • Zookeeper
  • HDFS
  • YARN
  • MapReduce
  • Analyzing Data with Pig
  • Processing Data with Hive
  • NoSql and HBase
  • Importing Data with Sqoop, Flume and Ozie
  • Quizes and Assignments
  • Introduction to Spark
  • Introduction to Scala
  • Writing and Deploying Spark Applications
  • Common Patterns in Spark Data Processing
  • Data Formats and Management
  • DataFrames and Spark SQL
  • Machine Learning with Spark
  • Quizes and Assignments
  • Data Warehousing
  • Data Mining
  • Data Integration and ETL
  • Mining Frequent Patterns
  • Quizes and Projects
  • Decision Trees
  • Random Forest
  • Adaboost
  • Gradient Boost
  • XG Boost
  • Quizes and Projects
  • Introduction to Time Series Analysis
  • Exploratory Time Series Data Analysis
  • Correlation and Autocorrelation
  • Autoregressive (AR) Models
  • Moving Average (MA) and ARMA Models
  • Quizes and Projects
  • Introduction to Text Analytics and NLP
  • NLTK in Python
  • Tokenization
  • Text Cleaning
  • Stemming and Lemmatization
  • Sentiment Analysis
  • Quizes and Projects
  • Introduction to Deep Learning
  • Introduction to Perceptrons
  • Introduction to Artificial Neural Networks
  • Training Deep Neural Networks
  • Up and Running with TensorFlow
  • TensorFlow Basics
  • Single Layer Perceptron
  • Multiple Layer Perceptron
  • Deep Learning using Keras
  • Creating an Artificial Neural Networks(ANN)
  • Convolutional Neural Networks(CNN)
  • Recurrent Neural Networks(RNN)
  • Autoencoders
  • Quizes and Assignments
  • Introduction to Reinforcement Learning
  • Optimizing Rewards and Policy Search
  • OpenAI Gym
  • Q learning
  • Convolutional Q learning
  • Quizes and Projects
  • Tableau Interface
  • Dimensions and measures
  • Filter shelf
  • Distributing and publishing
  • Connecting to Data Sources
  • Extracting and Interpreting data
  • Plots with Super Store data
  • Time Series Data
  • Forecasting
  • Quizes and Assignments
  • Final Capstone Project

Tools Covered

Industry Projects

Learn by practicing real-life industry based projects on Data Science sponsored by top companies across industries.


  • Engage in collaborative projects with student-mentor interaction
  • Learn and solve problems in-guidance with expert mentors
  • Get regular feedbacks on the projects and learn to improve your skills.

National Stock Exchange (NSE) Data Study

Processing National Stock Exchange (NSE) Data using Hive to find out various insights on the data and analyze the same.

NASA Kennedy Space Center logs

Churn the logs of NASA Kennedy Space Center server using Spark to find out useful business and devops metrics.

Netflix Movie Recommendation

Generate Netflix movie recommendations using Spark MLlib.

Analyzing Twitter Impacts

Analyze and derive the importance of various handles at Twitter using Spark GraphX.

Facebook image captioning

A model that can detect the type and objects in an image to classify facebook photos.

Stock Market trend Analysis

Predict any stock market equity shares trend using deep learning algorithms.

Facts that Make us Unique

Expert Mentors

Receive high quality guidance from industry experts and teaching assistants on the respective courses. Get one-on-one feedback on submissions of projects.

Industry case Studies

Work on real time industry problems via sponsored projects with detailed personalised feedback and guidance from the mentors.

Interview preparation

Practice mock tests and mock interviews and get familiarized with commonly asked interview questions that will help you crack any technical interview. Use your ePortfolio created with the guidance of our instructors to showcase your skills and improve your chances of getting hired.

Lifetime Content Access

Get lifetime access to self-paced learning materials.

Doubt Resolution

Timely doubt resolution by peers and mentors. Get personalised expert feedback on assignments and projects.

Student Support

Get 24x7 support related to any queries or technical issues. Get personalized support from the mentors on task related issues.

Career and Placement Support

Get Hired Faster

Get regular notifications on job openings and interviews from our placement team until you get placed in a company. Get mentorship and guidance for interview preparation.

Hands on Projects

Our trainig methodology is completely practical based. Learn by working on real time projects and case studies from Uber, Amazon, Walmart labs, etc.

Interview Preparation

Dedicated mentorship and interview connect sessions are provided for cracking the interviews. Take mock interviews and get hired faster.

Resume Building

Our training and placement team will help you out in building your resume with real time projects as per the industry standards.

Why learn Data Science?

Data is the essence of all industries. Large and humongous amount of data is being generated every day, which is termed as Big data. Without the expertise of professionals who can turn this huge amount of data using cutting-edge technology to actionable insights, this Big Data is not useful. Today, more and more organizations are using big data and increasing the value of a data scientist who knows how to work around, analyse and find out actionable insights from this data. More and more businesses today are using Data Science to add value to every aspect of their operations. This has led to a substantial increase in the demand for Data Scientists.

Data Science is the core of Artificial Intelligence. Without the right use of data, there is no intelligence. Data is the lifeblood of the digital enterprise, Artificial Intelligence (AI) technology is the pumping heart of the digital enterprise. AI, especially its subsets including machine learning, deep learning and advanced analytics, can automate much of the insight gathering and decision making in a data-driven enterprise, and amplify the value of data many times over.

Some Job Titles Related to Data Science:

  • Data Scientist
  • Data Engineer
  • Data Analyst
  • Product Analyst
  • Data Architect
  • Big Data Engineer
  • Business Analytics Specialist
  • Data Visualization Developer
  • Data Science Engineer
  • Business Intelligence (BI) Engineer
  • BI Solutions Architect
  • BI Specialist
  • Machine Learning Engineer
  • Deep Learning Engineer
  • Decision Scientist
  • Analytics Manager
  • Statistician

Reasons to study Data Science now:


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