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Big Data Analytics course will inspire you to explore opportunities in the world of big data analytics. This course will take you from the basics of big data analytics to the advance analytical tools, methods and technology, which could be used for the big data analytics projects.
You would be learning about the big data explosion, characteristics of big data and their classification. The analytical platform will take you from the changing model of big data analytics to the real time analytics. In order to process big data and extract the meaningful insights from it, importance of big data storage and the properties of storage architecture is imparted as a separate chapter. Basics of Hadoop, challenges associated with it and why it is considered as game changer by multiple verticals of the industry is an important section which will increase the level of your knowledge bucket.
Along with it, who are the players in the industry providing analytics platforms, visualization tools and Sentiment analysis are well instructed in the chapters. You will be able to know what are the challenges associated with big data and major business verticals that are leveraging big data to get the market insights.
The course is accompanied with the industry use case and assignment to evaluate the progress. We wish you happy journey for "Big Data Analytics" course.
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|Section 1: Strategic Guide to Big Data Analytics|
|Section 2: Big Data :: Introduction, its origination, explosion & use cases|
Introduction to Big DataPreview
Big Data Big BusinessPreview
Big Data :: Big Science :: Use Case
Big Data Analytics for Business :: Use Case
Big Data is helping us become Proactive
|Quiz 1||2 questions|
The quiz is based on the four lectures about the introduction of "Big Data Analytics", which you have just read. The answers to questions will help you to enhance your big data skills and knowledge as well.
- You may send us your answers and we will get back to you with the answers wrapped in the best way to enhance the knowledge.
- You may come with any query for "Big Data Analytics" and our experts will address them in the best possible way. You may post the questions in Discussion tab or Message us.
|Section 3: Big Data :: Characterstics|
Characteristics of Big Data
|Section 4: Big Data :: Issues|
Big Data :: Issues / Problems :: 1
Big Data :: Issues / Problems :: 2
Big Data :: Issues / Problems :: 3
Big Data :: Issues / Problems :: 4
Big Data :: Issues / Problems :: 5
Big Data :: Issues / Problems :: 6
Big Data :: Issues / Problems :: 7
Big Data :: Issues / Problems :: 8
|Section 5: Challenges Associated with Big Data|
Challenges in Big Data :: 1
Challenges in Big Data :: 2
Challenges in Big Data :: 3
Challenges in Big Data :: 4
Test your progress - 1
|Section 6: Big Data Analytical Platforms|
Big Data & BI
Big Data :: Analytical Platforms
|Section 7: Big Data :: Storage & Architecture Properties|
Big Data :: Storage
Big Data Storage :: Characteristics 1
Big Data Storage :: Characteristics 2
Big Data Storage :: Characteristics 3
Big Data Storage :: Characteristics 4
Big Data Storage :: Characteristics 5
Big Data Storage :: Characteristics 6
Big Data Storage :: Characteristics 7
Big Data Storage :: Characteristics 8
Big Data Storage :: Characteristics 9
Big Data Storage :: Characteristics 10
|Section 8: Big Data :: Big Benefit :: Big Industry|
How Big Data is benefiting Industries?
Test your progress - 2
|Section 9: Hadoop|
Hadoop :: Introduction
Hadoop :: Storage Basis
Hadoop :: Challenges
Getting more into Hadoop
Hadoop :: Benefits
|Section 10: Data Visualization :: Making Big Data more Valuable|
What is Data Visualization? & How Organizations are benefiting?
Advantages of Data Visualization
Visualization :: Another "V" for Big Data?
Data Visualization Techniques
|Section 11: Web2.0, Social Media & Impact on Organization|
What is Web 2.0?
Social Networks & Web 2.0
|Section 12: Analytical Models & Abstracting sense for Organization|
Different Analytical Models :: Intro
Analytical Model 1
Analytical Model 2
Analytical Model 3
Analytical Model abstracting sense for organization
|Section 13: Social profiling of customer and Augmenting business intelligence|
Social Profiling of a customer
Use Cases :: Social Profiling of a customer helping Enterprises
|Section 14: Sentiment Analysis and Driving Intelligence out of it|
Sentiment Analysis :: Overview
Sentiment Analysis :: Tools
Real time response to combine intelligence
Real time response to combine intelligence :: Use Case
|Section 15: Big Opportunities Big Security|
Big Data Opportunities
Big Data Drivers & Big Security
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