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Big Data and Data Science Master’s Course 1 | P a g e
Big Data and Data Science
Master’s Course
In Collaboration with IBM | Microsoft
Big Data and Data Science Master’s Course 2 | P a g e
Table of Contents
1. About the Program
2. Collaborating with IBM
3. Collaborating with Microsoft
4. About Intellipaat
5. Key Features
6. Career Support
7. Why take up this course?
8. Who should take up this course?
9. Learning Path
10. Course Advisors
11. Program Curriculum
12. Self-paced Courses
13. Project Work
14. Certification
15. Intellipaat Success Stories
16. Contact Us
Big Data and Data Science Master’s Course 3 | P a g e
About the Program
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.
Big Data and Data Science Master’s Course 4 | P a g e
Collaborating with IBM
IBM is one of the leading innovators and the biggest player in creating innovative tools for
Big Data Analytics. Top subject matter experts from IBM will share knowledge in the
domains of Analytics and Big Data 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 Big Data Analytics. Experts from Microsoft and other top MNCs will
offer you their understanding and knowledge in this 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
Big Data and Data Science Master’s Course 5 | P a g e
About Intellipaat
Intellipaat is one of the leading e-learning training providers with more than 600,000
learners across 55+ countries. We are on a mission to democratize education as we
believe that everyone has the right to quality education.
Our courses are delivered by subject matter experts from top MNCs, and our world-class
pedagogy enables learners to quickly learn difficult topics in no time. Our 24/7 technical
support and career services will help them jump-start their careers in their dream
companies.
Big Data and Data Science Master’s Course 6 | P a g e
Key Features
322 HRS INSTRUCTOR-LED
TRAINING
381 HRS SELF-PACED
TRAINING
528 HRS REAL-TIME
PROJECT WORK
LIFETIME ACCESS
24/7 TECHNICAL SUPPORT INDUSTRY-RECOGNIZED
CERTIFICATION
JOB ASSISTANCE THROUGH
80+ CORPORATE TIE-UPS
FLEXIBLE SCHEDULING
Big Data and Data Science Master’s Course 7 | P a g e
Career Support
SESSIONS WITH INDUSTRY MENTORS
Attend sessions from top industry experts and get guidance on how to boost
your career growth
MOCK INTERVIEWS
Mock interviews to make you prepare for cracking interviews by top employers
GUARANTEED INTERVIEWS & JOB SUPPORT
Get interviewed by our 400+ hiring partners
RESUME PREPARATION
Get assistance in creating a world-class resume from our career services team
Big Data and Data Science Master’s Course 8 | P a g e
Why take up 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 up this training?
Big Data and Data Science Professionals and Software Developers
Business Intelligence Professionals, Information Architects, and Project Managers
Those looking to make a career in Big Data and Data Science
Big Data and Data Science Master’s Course 9 | P a g e
Courses offered
1. Big Data Hadoop and Spark
2. Apache Spark and Scala
3. Data Science with R
4. Python for Data Science
5. Tableau Desktop 10
6. Splunk Developer and Admin
7. Data Science with SAS
8. Artificial Intelligence and Deep Learning Course with TensorFlow
9. MongoDB
10. AWS
11. Microsoft Azure Training
1. Apache HBase
2. Apache Cassandra
3. Couchbase
4. Machine Learning
5. Solr
6. Linux
7. Java
8. Apache Kafka
9. SQL
INSTRUCTOR-LED TRAINING COURSES
SELF-PACED LEARNING COURSES
Big Data and Data Science Master’s Course 10 | P a g e
Course Advisors
Suresh Paritala
Solutions Architect at Microsoft, Texas
A Senior Software Architect at Microsoft, Texas, who has previously worked
with IBM Corporation, Suresh Paritala has worked on Big Data, Data Science,
Advanced Analytics, Internet of Things, and Azure, along with AI domains like
Machine Learning and Deep Learning. He has successfully implemented
high-impact projects in major corporations around the world.
David Callaghan Big Data Strategist and Solutions Architect, Perficient, USA
An experienced Blockchain professional, who has been bringing integrated
Blockchain, particularly Hyperledger and Ethereum, and Big Data solutions to
the cloud, David Callaghan has previously worked on Hadoop, AWS Cloud,
Big Data, and Pentaho projects that have had a major impact on the revenues
of marquee brands around the world.
Samanth Reddy Data Scientist at ASCAP
A renowned Data Scientist who has worked with Google and is currently working
at ASCAP, Samanth Reddy has a proven ability to develop Data Science
strategies that have a high impact on the revenues of various organizations. He
comes with strong Data Science expertise and has created decisive Data
Science strategies for Fortune 500 corporations.
Big Data and Data Science Master’s Course 11 | P a g e
Program Curriculum
BIG DATA HADOOP & SPARK
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.
Topics:
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
Big Data and Data Science Master’s Course 12 | P a g e
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-paced 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
APACHE SPARK & SCALA
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.
Topics:
Introduction to Scala
Pattern Matching
Executing the Scala Code
Big Data and Data Science Master’s Course 13 | P a g e
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
DATA SCIENCE WITH R
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
Big Data and Data Science Master’s Course 14 | P a g e
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.
Topics:
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-paced Course Content:
Introduction to Artificial Intelligence
Time Series Analysis
Support Vector Machine (SVM)
Naïve Bayes
Text Mining
Big Data and Data Science Master’s Course 15 | P a g e
PYTHON FOR DATA SCIENCE
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.
Topics:
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
TABLEAU DESKTOP 10
Learning Objective
Big Data and Data Science Master’s Course 16 | P a g e
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.
Topics:
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
DATA SCIENCE WITH SAS
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
Big Data and Data Science Master’s Course 17 | P a g e
data mining, data analytics, modeling techniques, visualization of data, predictive analysis,
and extracting insights through real-world case studies.
Topics:
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
PROC SQL
Advanced Base SAS
Summarization Reports
SPLUNK DEVELOPER & ADMIN
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,
Big Data and Data Science Master’s Course 18 | P a g e
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.
Topics:
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
Big Data and Data Science Master’s Course 19 | P a g e
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
AI & DEEP LEARNING
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.
Topics:
Introduction to Deep Learning and Neural Networks
Multi-layered Neural Networks
Artificial Neural Networks and Various Methods
Deep Learning Libraries
Keras API
Big Data and Data Science Master’s Course 20 | P a g e
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
MONGODB DEVELOPER & ADMIN
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.
Topics:
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
Big Data and Data Science Master’s Course 21 | P a g e
AWS
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.
Topics:
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-paced Course Content:
Architecting AWS – Whitepaper
DevOps on AWS
AWS Migration
AWS Architect Interview Questions
Big Data and Data Science Master’s Course 22 | P a g e
MICROSOFT AZURE TRAINING
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.
Topics:
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
Big Data and Data Science Master’s Course 23 | P a g e
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, high-
scalable 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 file-
oriented 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
Our 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.
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.
Big Data and Data Science Master’s Course 24 | P a g e
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
Big Data Hadoop Projects
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.’
Big Data and Data Science Master’s Course 25 | P a g e
Hadoop Web Log Analytics
Hadoop Maintenance
Twitter Sentiment Analysis
Analyzing IPL T20 Cricket
Movie Recommendation
Twitter API Integration for Tweet Analysis
Data Exploration Using Spark SQL – Wikipedia Dataset
Movie Recommendation
Twitter API Integration for Tweet Analysis
Data Exploration Using Spark SQL – Wikipedia Dataset
Market Basket Analysis
Credit Card Fraud Detection
Loan Approval Prediction
Netflix Recommendation System
Case Study 1: Introduction to R Programming
Case Study 2: Solving Customer Churn Using Data Exploration
Case Study 3: Creating Data Structures in R
Case Study 4: Implementing SVD in R
Case Study 5: Time Series Analysis
Analyzing the Trends of COVID-19 with Python
Apache Spark & Scala
Data Science with R
Data Science with Python
Big Data and Data Science Master’s Course 26 | P a g e
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
Tableau Desktop 10
Splunk
Data Science with SAS
AI & Deep Learning
Big Data and Data Science Master’s Course 27 | P a g e
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
MongoDB
Microsoft Azure
AWS
Big Data and Data Science Master’s Course 28 | P a g e
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 Management
Big Data and Data Science Master’s Course 29 | P a g e
Certification After the completion of the course, you will get certificates from IBM, Microsoft, and
Intellipaat.
Big Data and Data Science Master’s Course 30 | P a g e
Success Stories
Kevin K Wada
Thank you very much for your top-class service. A special mention should
be made for your patience in listening to my queries and giving me a
solution, which was exactly what I was looking for. I am giving you a 10 on
10!
Sampson Basoah
The Intellipaat team helped me in selecting the perfect course that suits
my profile. The whole course was practically oriented, and the trainers are
always ready to answer any question. I found this course to be impactful.
Thank you.
Vishal Pentakota
The best part of this online course is the series of hands-on
demonstrations the trainer performed. Not only did he explain each concept
theoretically, but he also implemented all those concepts practically.
Sharath Reddy Yellapati
The course material was well organized. The trainer explained each
module to me from the basics. All my queries were addressed very
clearly. The trainer also made me realize how important this course is for
beginners in the IT stream.
Big Data and Data Science Master’s Course 31 | P a g e
CONTACT US
INTELLIPAAT SOFTWARE SOLUTIONS PVT. LTD.
Bangalore
AMR Tech Park 3, Ground Floor, Tower B, Hongasandra Village, Bommanahalli, Hosur Road, Bangalore – 560068 USA
1219 E. Hillsdale Blvd. Suite 205, Foster City, CA 94404 If you have any further queries or just want to have a conversation with us, then do call us.
IND: +91-7022374614 | US: 1-800-216-8930