big data and data science
TRANSCRIPT
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
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
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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.
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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
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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.
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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
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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
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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
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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
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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.
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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
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• 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
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• 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
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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
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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
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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
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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,
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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
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• 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
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• 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
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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
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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
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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.
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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.’
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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
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• 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
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• 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
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• 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
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Certification After the completion of the course, you will get certificates from IBM, Microsoft, and
Intellipaat.
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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
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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.
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