Guide to Big Data Analytics: Origination to Opportunities

Grounding in basic & advanced big data analytic methods, technology and tools
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  • Lectures 59
  • Length 2.5 hours
  • Skill Level Beginner Level
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 1/2016 English

Course Description

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.

What are the requirements?

  • Eagerness to grasp the knowledge of "Big Data"
  • Basic technical knowledge to follow the course

What am I going to get from this course?

  • Deploy a structured lifecycle approach to data science and big data analytics projects.
  • Planning & Implementation of Big Data strategy in organization.
  • Analyze data, use big data analytics, metrics understanding and consumer behaviour to make better business decisions and improve capabilities.
  • Explore big data opportunities

What is the target audience?

  • Big data beginners or fresh graduates
  • Practitioners of BI

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Strategic Guide to Big Data Analytics
Course Overview
Preview
01:12
Section 2: Big Data :: Introduction, its origination, explosion & use cases
Introduction to Big Data
Preview
03:41
Big Data Big Business
Preview
06:48
Big Data :: Big Science :: Use Case
01:05
Big Data Analytics for Business :: Use Case
01:08
Big Data is helping us become Proactive
02:57
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.

PS:

- 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.

Thanks.




Section 3: Big Data :: Characterstics
Characteristics of Big Data
08:14
Section 4: Big Data :: Issues
Big Data :: Issues / Problems :: 1
00:29
Big Data :: Issues / Problems :: 2
00:20
Big Data :: Issues / Problems :: 3
00:30
Big Data :: Issues / Problems :: 4
00:26
Big Data :: Issues / Problems :: 5
00:34
Big Data :: Issues / Problems :: 6
01:28
Big Data :: Issues / Problems :: 7
01:18
Big Data :: Issues / Problems :: 8
01:16
Section 5: Challenges Associated with Big Data
Challenges in Big Data :: 1
01:12
Challenges in Big Data :: 2
00:59
Challenges in Big Data :: 3
00:33
Challenges in Big Data :: 4
03:42
Test your progress - 1
Article
Section 6: Big Data Analytical Platforms
Big Data & BI
04:16
Big Data :: Analytical Platforms
01:25
Section 7: Big Data :: Storage & Architecture Properties
Big Data :: Storage
03:20
Big Data Storage :: Characteristics 1
01:58
Big Data Storage :: Characteristics 2
01:39
Big Data Storage :: Characteristics 3
00:41
Big Data Storage :: Characteristics 4
01:07
Big Data Storage :: Characteristics 5
01:54
Big Data Storage :: Characteristics 6
00:49
Big Data Storage :: Characteristics 7
01:02
Big Data Storage :: Characteristics 8
01:01
Big Data Storage :: Characteristics 9
00:34
Big Data Storage :: Characteristics 10
00:51
Section 8: Big Data :: Big Benefit :: Big Industry
How Big Data is benefiting Industries?
02:44
Test your progress - 2
Article
Section 9: Hadoop
Hadoop :: Introduction
02:48
Hadoop :: Storage Basis
03:05
Hadoop :: Challenges
01:35
Getting more into Hadoop
01:09
Hadoop :: Benefits
03:13
Section 10: Data Visualization :: Making Big Data more Valuable
What is Data Visualization? & How Organizations are benefiting?
05:41
Advantages of Data Visualization
03:17
Visualization :: Another "V" for Big Data?
02:22
Data Visualization Techniques
02:19
Section 11: Web2.0, Social Media & Impact on Organization
What is Web 2.0?
02:17
Social Networks & Web 2.0
07:57
Section 12: Analytical Models & Abstracting sense for Organization
Different Analytical Models :: Intro
00:40
Analytical Model 1
02:08
Analytical Model 2
03:01
Analytical Model 3
01:45
Analytical Model abstracting sense for organization
03:46
Section 13: Social profiling of customer and Augmenting business intelligence
Social Profiling of a customer
06:13
Use Cases :: Social Profiling of a customer helping Enterprises
05:11
Section 14: Sentiment Analysis and Driving Intelligence out of it
Sentiment Analysis :: Overview
04:05
Sentiment Analysis :: Tools
01:21
Real time response to combine intelligence
05:41
Real time response to combine intelligence :: Use Case
02:38
Section 15: Big Opportunities Big Security
Big Data Opportunities
04:45
Big Data Drivers & Big Security
08:06

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Instructor Biography

RankOne Consulting, Business Unplugged

Academia consulting services is led by the RankOne’s experts, possessing an experience of 75+ years in multiple domains across the continents. We develop programs, especially for the professionals with an objective to assist their academic and interpersonal growth, forming a foundation of success in the professional world.

RankOne’s Academia Consulting services includes a structured program with the defined duration followed by industry based assignments such as developing case studies, presentations and individual & group assignments. The assignments are further validated by the industry experts in order to track the performance of learner.

We are serving private firms, government sectors, non-profit organizations and academic community through our consulting services.

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