Big Data and Data Science Master's Course




Skill Level

Up to 400 Hrs




Course Details

Suresh Paritala
Solutions Architect at Microsoft, Texas

David Callaghan
Big Data Strategist and Solutions Architect, Perficient, USA

Samanth Reddy
Data Scientist at ASCAP


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Please contact us for details.

  • Instructor-led
  • Self-paced
course features
Career Support:

    Attend sessions from top industry experts and get guidance on how to boost your career growth


    Mock interviews to make you prepare for cracking interviews by top employers


    Get interviewed by our 400+ hiring partners


    Get assistance in creating a world-class resume from our career services team

Certificate of Completion

After the completion of the course, you will get certificates from IBM, Microsoft, and Intellipaat.

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Our Big Data and Data Science master’s course lets you gain proficiency in Big Data and Data Science. You will work on real-world projects in Hadoop Dev, Admin, Test, and Analysis, Apache Spark, Scala, AWS, Tableau, Artificial Intelligence, Deep Learning, Python for Data Science, SAS, R, Splunk Developer and Admin, NoSQL databases, and more. In this program, we will cover 20 courses and 56 industry-based projects.

Collaborating with IBM

IBM is one of the leading innovators and the biggest player in creating innovative tools. Top subject matter experts from IBM will share their knowledge in the domains of Cloud and DevOps through this training program, which will help you gain the breadth of knowledge and industry experience.
Benefits for students from IBM
  • Industry-recognized IBM certificate
  • Access to IBM Watson for hands-on training and practice
  • Industry in-line case studies and project work

Collaborating with Microsoft

Microsoft is one of the largest organizations in terms of inventing creative tools for various purposes inclined to Cloud and DevOps. Experts from Microsoft and other top MNCs will offer you their understanding and knowledge in the field through this online certification. Moreover, you will also get deep insights into the concepts and gain hands-on experience by working on industry-specified assignments.
Benefits for students from Microsoft
  • Industry-recognized Microsoft certification
  • Real-time projects and exercises

Why take this course?

  • Global Big Data market to reach US$122 billion in revenue by 2025 – Frost & Sullivan
  • The United States alone would face a shortage of 1.4–1.9 million Big Data Analysts in the next 2 years – McKinsey

Intellipaat’s training program is created, keeping in mind the needs of the industry. You will gain mastery in the complete aspects of Data Science and the Hadoop ecosystem to take on various roles and responsibilities in Big Data and Data Science domains at top-notch salaries.

Who should take this training?

  • Big Data and Data Science Professionals and Software Developers
  • Business Intelligence Professionals, Information Architects, and Project Managers Architects, and Project Managers
  • Those looking to make a career in Big Data and Data Science

COURSE Offered



Learning Objective

It is a comprehensive Hadoop Big Data training course designed by industry experts, considering current industry job requirements, to help you learn Big Data Hadoop and Spark modules. This is an industry-recognized Big Data Hadoop certification training course that is a combination of the training courses in Hadoop Developer, Hadoop Administrator, and Hadoop testing and analytics with Apache Spark. This Cloudera Hadoop and Spark training will prepare you to clear Cloudera CCA175 Big Data certification.


  • Hadoop Installation and Setup
  • Introduction to Big Data Hadoop and Understanding HDFS and MapReduce
  • Deep Dive into MapReduce
  • Introduction to Hive
  • Advanced Hive and Impala
  • Introduction to Pig
  • Flume, Sqoop, and HBase
  • Writing Spark Applications Using Scala
  • Spark Framework
  • RDDs in Spark
  • DataFrames and Spark SQL
  • Machine Learning Using Spark (MLlib)
  • Integrating Apache Flume and Apache Kafka
  • Spark Streaming
  • Hadoop Administration: Multi-node Cluster Setup Using Amazon EC2
  • Hadoop Administration: Cluster Configuration
  • Hadoop Administration: Maintenance, Monitoring, and Troubleshooting
  • ETL Connectivity with the Hadoop Ecosystem (Self-paced)
  • Project Solution Discussion and Cloudera Certification Tips and Tricks

Self-Spaced Course Content:

  • Hadoop Application Testing
  • Roles and Responsibilities of a Hadoop Testing Professional
  • Framework Called MRUnit for the Testing of MapReduce Programs
  • Unit Testing
  • Test Execution
  • Test Plan Strategy and Writing Test Cases for Testing Hadoop Application

Learning Objective

Intellipaat’s Apache Spark and Scala certification training course offers you hands-on knowledge to create Spark applications using Scala programming. It gives you a clear comparison between Spark and Hadoop. The course provides you with techniques to increase application performance and enable high-speed processing using Spark RDDs, as well as to help in the customization of Spark using Scala.


  • Introduction to Scala
  • Pattern Matching
  • Executing the Scala Code
  • Classes Concept in Scala
  • Case Classes and Pattern Matching
  • Concept of Traits with Example
  • Scala–Java Interoperability
  • Scala Collections
  • Mutable Collections vs Immutable Collections
  • Use Case: Bobsrockets Package
  • Introduction to Spark
  • Spark Basics
  • Working with RDDs in Spark
  • Aggregating Data with Paired RDDs
  • Writing and Deploying Spark Applications
  • Parallel Processing
  • Spark RDD Persistence
  • Spark MLlib
  • Integrating Apache Flume and Apache Kafka
  • Spark Streaming
  • Improving Spark Performance
  • Spark SQL and DataFrames
  • Scheduling/Partitioning

Learning Objective

This Data Scientist course online provides detailed learning through self-paced videos and live instructor-led sessions that help you gain skills in the shortest possible time. Data Scientists are among the highest-paid and most in-demand professionals. This in-depth Data Scientist course covers ‘What is Data Science?,’ statistical methods, data acquisition and analysis, Machine Learning algorithms, predictive analytics, data modeling, etc. At the end of the course, you will work on building a recommendation engine for an e-commerce site and will work on a real-time capstone project.


  • Introduction to Data Science with R
  • Data Exploration
  • Data Manipulation
  • Data Visualization
  • Introduction to Statistics
  • Machine Learning
  • Logistic Regression
  • Decision Trees and Random Forest
  • Unsupervised Learning
  • Association Rule Mining and Recommendation Engines

Self-Spaced Course Content:

  • Introduction to Artificial Intelligence
  • Time Series Analysis
  • Support Vector Machine (SVM)
  • Naïve Bayes
  • Text Mining

Learning Objective

The Data Science with Python course helps you learn Python programming required for Data Science. In this Python for Data Science training, you will master the technique of how Python is deployed for Data Science, working with Pandas library for Data Science, data cleaning, data visualization, Machine Learning, advanced numeric analysis, etc., along with real-world projects and case studies.


  • Introduction to Data Science Using Python
  • Python Basic Constructs
  • Maths for DS: Statistics and Probability
  • OOPs in Python
  • NumPy for Mathematical Computing
  • SciPy for Scientific Computing
  • Data Manipulation
  • Data Visualization with Matplotlib
  • Machine Learning Using Python
  • Supervised Learning
  • Unsupervised Learning
  • Python Integration with Spark (Self-paced)
  • Dimensionality Reduction
  • Time Series Forecasting

Learning Objective

Intellipaat’s Tableau certification training program helps you learn Tableau and makes you ready to work on the concepts of data visualization with a firm understanding of the Tableau architecture. You will become proficient in the concepts of filters, parameters, maps, graphs, dashboards, and table calculation. Furthermore, you will learn about data blending, data aggregation, and R connectivity with Tableau in this online Tableau course.


  • Introduction to Data Visualization and the Power of Tableau
  • Architecture of Tableau
  • Working with Metadata and Data Blending
  • Creation of Sets
  • Working with Filters
  • Organizing Data and Visual Analytics
  • Working with Mapping
  • Working with Calculations and Expressions
  • Working with Parameters
  • Charts and Graphs
  • Dashboards and Stories
  • Tableau Prep
  • Integration of Tableau with R and Hadoop

Learning Objective

This SAS training course will help you in learning the domains of Business Analytics and Business Intelligence. Upon the completion of this SAS online training, you will have enough proficiency in reading spreadsheets, databases, using SAS functions for manipulating data and debugging it, etc. This Base SAS certification training also includes data mining, data analytics, modeling techniques, visualization of data, predictive analysis, and extracting insights through real-world case studies.


  • Introduction to SAS
  • SAS Enterprise Guide
  • SAS Operators and Functions
  • Compilation and Execution
  • Using Variables
  • Creation and Compilation of SAS Datasets
  • SAS Procedures
  • Input Statement and Formatted Input
  • SAS Format
  • SAS Graphs
  • Interactive Data Processing
  • Data Transformation Function
  • Output Delivery System (ODS)
  • SAS Macros
  • Advanced Base SAS
  • Summarization Reports

Self-Spaced Course Content:

Learning Objective

Intellipaat’s master’s program in the Splunk tool includes Splunk Developer and Splunk Administration training. As part of this Splunk course, you will work on searching, sharing, and saving Splunk results, creating tags, generating reports and charts, installing and configuring Splunk, and monitoring, scaling, and indexing large volumes of searches and analyzing them using the Splunk tool


  • Splunk Development Concepts
  • Basic Searching and Using Fields in Searches
  • Saving and Scheduling Searches
  • Creating Alerts and Scheduled Reports
  • Tags and Event Types
  • Creating and Using Macros
  • Workflow and Splunk Search Commands
  • Transforming and Reporting Commands
  • Mapping and Single-value Commands
  • Splunk Reports and Visualizations
  • Analyzing, Calculating, and Formatting Results
  • Correlating Events and Enriching Data with Lookups
  • Creating Reports and Dashboards
  • Getting Started with Parsing
  • Using Pivot
  • Common Information Model (CIM) Add-on
  • Overview of Splunk and Its Installation
  • Splunk Installation in Linux
  • Distributed Management Console
  • Introduction to the Splunk App
  • Splunk Indexes and Users
  • Splunk Configuration Files
  • Splunk Deployment Management
  • Splunk Indexes
  • User Roles and Authentication
  • Splunk Administration Environment
  • Basic Production Environment
  • Splunk Search Engine
  • Various Splunk Input Methods
  • Splunk User and Index Management
  • Machine Data Parsing
  • Search Scaling and Monitoring
  • Splunk Cluster Implementation


Self-Spaced Course Content:

Learning Objective

Intellipaat offers a comprehensive Artificial Intelligence program that will help you work on today’s cutting-edge technology, Artificial Intelligence (AI). As part of this best AI training, you will master various aspects of artificial neural networks, supervised and unsupervised learning, logistic regression with a neural network mindset, binary classification, vectorization, Python for scripting Machine Learning applications, and much more.


  • Introduction to Deep Learning and Neural Networks
  • Multi-layered Neural Networks
  • Artificial Neural Networks and Various Methods
  • Deep Learning Libraries
  • Keras API
  • TFLearn API for TensorFlow
  • DNNs (Deep Neural Networks)
  • CNNs (Convolutional Neural Networks)
  • RNNs (Recurrent Neural Networks)
  • GPU in Deep Learning
  • Autoencoders and Restricted Boltzmann Machine (RBM)
  • Deep Learning Applications
  • Chatbots

Learning Objective

This is a very extensive course in MongoDB, which is one of the most widely used NoSQL tools in the Big Data domain. Some of the topics that are included in this MongoDB training are the installation of MongoDB, JSON files, data modeling, and schema design. You will also gain enough expertise in the framework of data monitoring, indexing, and aggregation.


  • Introduction to NoSQL and MongoDB
  • MongoDB Installation
  • Importance of NoSQL
  • CRUD Operations
  • Data Modeling and Schema Design
  • Data Management and Administration
  • Data Indexing and Aggregation
  • MongoDB Security
  • Working with Unstructured Data

Learning Objective

Intellipaat is offering a comprehensive AWS certification training course created by industry experts. This AWS training will prepare you for the AWS Certified Solutions Architect exam. You will learn skills such as AWS Elastic Cloud Compute, Simple Storage Service, virtual private cloud, Aurora database service, load balancing, auto-scaling, and more by working on hands-on projects and case studies. You will learn the best practices to be followed while working on AWS projects in the industry.


  • Introduction to Cloud Computing and AWS
  • Elastic Compute and Storage Volumes
  • Load Balancing, Autoscaling, and DNS
  • Virtual Private Cloud
  • Storage – Simple Storage Service (S3)
  • Databases and In-memory Data Stores
  • Management and Application Services
  • Access Management and Monitoring Services
  • Automation and Configuration Management
  • Amazon FSx and Global Accelerator

Self-Spaced Course Content:

  • Architecting AWS – Whitepaper
  • DevOps on AWS
  • AWS Migration
  • AWS Architect Interview Questions

Learning Objective

Intellipaat’s Microsoft Azure certification training paves the way for learners to get accustomed to Azure infrastructure and deployment. This training makes learners acquire skills in Azure administration, managing subscriptions, securing storage, securing and managing identities, deploying virtual machines, implementing Azure Load Balancer, migrating servers to Azure, integrating on-premise networks with Azure virtual network, and managing application services, among other aspects of Azure, all through implementing projects in real-world scenarios. Become a part of the Azure revolution with Intellipaat’s Microsoft Certified Azure Administrator Associate training course. Aligned with the 2020 edition of Exam AZ-104 Microsoft Azure Administrator, this course is best suited for professionals wishing to be successful as an Azure Administrator.


  • Introduction to Microsoft Azure
  • Introduction to ARM and Azure Storage
  • Introduction to Azure Storage
  • Azure Virtual Machines
  • Azure App and Container Services
  • Azure Networking – I
  • Azure Networking – II
  • Authentication and Authorization in Azure Using RBAC
  • Microsoft Azure Active Directory
  • Azure Monitoring

Self-paced Courses

  • HBase

    Our HBase course lets you master the powerful NoSQL distributed database. This HBase training provides a detailed understanding of HBase and NoSQL concepts, such as HBase architecture, data analytics using HBase, integration with Hive, monitoring clusters using ZooKeeper, and advanced operations in HBase, including integration and working with the Hadoop ecosystem.

  • Cassandra

    This Cassandra course provides you extensive knowledge of Cassandra concepts, highscalable data models, and the Cassandra architecture which will enable you to build applications for Big Data. You will learn Cassandra configuration, installation, architecture, data modeling, and Hadoop integration and will work on real-life industry projects.

  • Couchbase

    Our Couchbase course provides hands-on training to master the multi-model NoSQL fileoriented database. You will learn Couchbase distributed architecture, Couchbase Server, searching, querying, and indexing data, and the Couchbase flexible data model, along with getting hands-on experience in working with Couchbase Server that can store credentials and key-values.

  • Machine Learning

    Our Machine Learning with Python training is a comprehensive course that lets you master various aspects of Machine Learning such as Machine Learning with Python programming, supervised and unsupervised learning, support vector machines, random forest classifiers, best practices of Machine Learning, and more through hands-on projects and case studies.

  • Apache Solr

    Intellipaat’s Cloud Computing essentials online training helps you learn the cloud fundamentals, cloud service life cycleOur Apache Lucene Solr training course lets you master Solr, along with its major topics such as introduction to Apache Lucene, Solr installation, Solr Search, and sorting, indexing, and updating schema., cloud solutions architecture, service transition and transformation, consumer perspective on setting up a cloud ecosystem, in-depth SaaS, IaaS, and PaaS, and more through hands-on projects and exercises.

  • Linux

    Our Linux training course lets you master the Linux OS. This in-depth training course gives you all skills needed for working as a Linux Administrator. You will learn about the Red Hat system, installation, managing boot processes, performing various operations, understanding Linux Kernel, and testing and debugging

  • Java

    This comprehensive course lets you master the Java programming language. It provides the best online training to help you learn OOP concepts, J2EE, core and advanced Java, JDBC, objects and classes, etc. You will also work on real-world industry projects.

  • Apache Kafka

    Our Apache Kafka training course gives you hands-on training to master the real-time stream processing platform. Major topics included in this online course are the Kafka API, creating Kafka clusters, and the integration of Kafka with the Big Data Hadoop ecosystem, along with Spark, Storm, and Maven integration.

  • SQL

    This MS SQL training helps you manage database solutions and various operations on databases, migrate them to the cloud, and scale on demand. You will work on real-world projects in Transact-SQL. As part of this training, you will also receive official course material issued by Microsoft for ‘Querying Data with Transact-SQL’ and ‘Developing SQL Databases.’

Project work

  • Working with MapReduce, Hive, and Sqoop
  • Working on MovieLens Data for Finding the Top Movies
  • Hadoop YARN Project: End-to-End PoC
  • Table Partitioning in Hive
  • Connecting Pentaho with the Hadoop Ecosystem
  • Multi-node Cluster Setup
  • Hadoop Testing Using MRUnit
  • Hadoop Web Log Analytics
  • Hadoop Maintenance
  • Twitter Sentiment Analysis
  • Analyzing IPL T20 Cricket
  • Movie Recommendation
  • Twitter API Integration for Tweet Analysis
  • D Data Exploration Using Spark SQL – Wikipedia Dataset
  • Movie Recommendation
  • Twitter API Integration for Tweet Analysis
  • Data Exploration Using Spark SQL – Wikipedia Dataset
  • Creating an Employee Database of a Company
  • Building an Organizational Dashboard with Splunk
  • Field Extraction in Splunk
  • Analyzing the Trends of COVID-19 with Python
  • Analyzing the Naming Trends Using Python
  • Performing Analysis on Customer Churn Dataset
  • Netflix Recommendation System
  • Python Web Scraping for Data Science
  • OOPS in Python
  • Working With NumPy
  • Visualizing and Analyzing the Customer Churn Dataset Using Python
  • Building Models with the Help of Machine Learning Algorithms
  • Understanding Global COVID-19 Mortality Rates
  • Understanding the UK Bank Customer Data
  • Understanding Financial Data
  • Understanding Agriculture Data
  • Creating an Employee Database of a Company
  • Building an Organizational Dashboard with Splunk
  • Field Extraction in Splunk
  • Categorization of Patients Based on the Count of Drugs Used for Their Therapy
  • Building Revenue Projections Reports
  • Impact of Pre-paid Plans on the Preferences of Investors
  • K-means Cluster Analysis on the Iris Dataset
  • Auto-encoder Assignment
  • CNN Assignment
  • Binary Classification on ‘Customer_Churn’ Using Keras
  • Face Detection Project
  • Keras Assignment
  • MLP Assignment
  • AI and Deep Learning Intro Assignment
  • RNN Assignment
  • TensorFlow Assignment
  • TFLearn Assignment
  • Working with the MongoDB Java Driver
  • Project 1: Implementing a New Architecture to Your Company’s Website
  • Project 2: Building a Dashboard to Monitor Your Company’s Website Running on a
    Web App
  • Case Study 1: Introduction to Cloud computing
  • Case Study 2: Microsoft Azure Storage
  • Case Study 3: Azure Virtual Machines
  • Case Study 4: Microsoft Azure Networking
  • Case Study 5: Load Balancing and Network Watcher
  • Case Study 6: Access Management in Azure
  • Deploying a Multi-tier Website on AWS
  • Deploying a Website for High Availability and High Resilience
  • Sending Notifications to Patients Using Push Notifications
  • An Application to Sort Objects in an S3 Bucket Using Beanstalk and Lambda
  • Case Study 1 – Using Different Operations on EC2 and EWS
  • Case Study 2 – Autoscaling Compute Capacity in AWS
  • Case Study 3 – Creating Custom VPCs in AWS
  • Case Study 4 – Using AWS S3 for Lifecycle Access Management
  • Case Study 5 – Highly Available Relational Database in AWS
  • Case Study 6 – CloudFormation for Infrastructure-as-Code
  • Case Study 7 – Administering User Access Using AWS IAM
  • Case Study 8 – Application Services in AWS and Configuration Managemen

The Big Data and Data Science Masters Course is an online course with industry recognized certification.

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