big data and data science

32
Big Data and Data Science Master’s Course 1 | P a g Big Data and Data Science Master’s Course In Collaboration with IBM | Microsoft

Upload: others

Post on 08-May-2022

1 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Big Data and Data Science

Big Data and Data Science Master’s Course 1 | P a g

Big Data and Data Science

Master’s Course

In Collaboration with IBM | Microsoft

Page 2: Big Data and Data Science

Big Data and Data Science Master’s 2 | P a g

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. Course Advisors

10. Program Curriculum

11. Self-paced Courses

12. Project Work

13. Certification

14. Intellipaat Success Stories

15. Contact Us

Page 3: Big Data and Data Science

Big Data and Data Science Master’s 3 | P a g

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.

Page 4: Big Data and Data Science

Big Data and Data Science Master’s 4 | P a g

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

Page 5: Big Data and Data Science

Big Data and Data Science Master’s 5 | P a g

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.

Page 6: Big Data and Data Science

Big Data and Data Science Master’s 6 | P a g

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

Page 7: Big Data and Data Science

Big Data and Data Science Master’s 7 | P a g

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

Page 8: Big Data and Data Science

Big Data and Data Science Master’s 8 | P a g

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

Page 9: Big Data and Data Science

Big Data and Data Science Master’s 9 | P a g e

Courses offered

INSTRUCTOR-LED TRAINING COURSES

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

SELF-PACED LEARNING COURSES

1. Apache HBase

2. Apache Cassandra

3. Couchbase

4. Machine Learning

5. Solr

6. Linux

7. Java

8. Apache Kafka

9. SQL

Page 10: Big Data and Data Science

Big Data and Data Science Master’s 10 | P a g

Course Advisors

Suresh Paritala

Solutions Architect at Microsoft, Texas

Suresh is responsible for overseeing and directing Big Data and

Analytics projects at Microsoft. He is experienced in advanced

analytics and big data, prescriptive and predictive analysis having

expertise in Hadoop and Spark.

David Callaghan

Big Data Strategist and Solutions Architect, Perficient, USA

A Blockchain expert, David has been bringing integrated blockchain,

particularly Hyperledger, Ethereum and Big Data solutions to the

cloud. He has previously worked on Hadoop, AWS Cloud, Big Data

and Pentaho Projects.

Raghu Raman A V

Big Data Consultant

With over 10+ years of IT experience and corporate training, he is a

subject matter expert in Big Data and Hadoop along with Cloud

Computing. He has an exhaustive track record of training for major

organizations including HCL, IBM, Capgemini, Wipro.

Page 11: Big Data and Data Science

Big Data and Data Science Master’s 11 | P a g

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

Page 12: Big Data and Data Science

Big Data and Data Science Master’s 12 | P a g

• 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

Page 13: Big Data and Data Science

Big Data and Data Science Master’s 13 | P a g

• 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

Page 14: Big Data and Data Science

Big Data and Data Science Master’s 14 | P a g

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

Page 15: Big Data and Data Science

Big Data and Data Science Master’s 15 | P a g

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

Page 16: Big Data and Data Science

Big Data and Data Science Master’s 16 | P a g

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

Page 17: Big Data and Data Science

Big Data and Data Science Master’s 17 | P a g

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,

Page 18: Big Data and Data Science

Big Data and Data Science Master’s 18 | P a g

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

Page 19: Big Data and Data Science

Big Data and Data Science Master’s 19 | P a g

• 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

Page 20: Big Data and Data Science

Big Data and Data Science Master’s 20 | P a g

• 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

Page 21: Big Data and Data Science

Big Data and Data Science Master’s 21 | P a g

AWS

Learning Objective

Intellipaat is offering a comprehensive AWScertification 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

Page 22: Big Data and Data Science

Big Data and Data Science Master’s 23 | P a g

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

Page 23: Big Data and Data Science

Big Data and Data Science Master’s 24 | P a g

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, 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.

Page 24: Big Data and Data Science

Big Data and Data Science Master’s 25 | P a g

Page 25: Big Data and Data Science

Big Data and Data Science Master’s 26 | P a g

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.’

Page 26: Big Data and Data Science

Big Data and Data Science Master’s 27 | P a g

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

• 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

Big Data Hadoop Projects

Apache Spark & Scala

Data Science with R

Page 27: Big Data and Data Science

Big Data and Data Science Master’s 28 | P a g

• 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

• 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

Data Science with Python

Tableau Desktop 10

Splunk

Page 28: Big Data and Data Science

Big Data and Data Science Master’s 29 | P a g

• 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

Data Science with SAS

AI & Deep Learning

MongoDB

Microsoft Azure

Page 29: Big Data and Data Science

Big Data and Data Science Master’s 30 | P a g

• 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 Management

AWS

Page 30: Big Data and Data Science

Big Data and Data Science Master’s 31 | P a g

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

Intellipaat.

Page 31: Big Data and Data Science

Big Data and Data Science Master’s 32 | P a g

Success Stories

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.

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

Page 32: Big Data and Data Science

Big Data and Data Science Master’s 33 | P a g

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