Guide to Big Data Analytics- Origination to Opportunities

Guide to Big Data Analytics: Origination to Opportunities, available at $19.99, has an average rating of 4.55, with 59 lectures, 7 quizzes, based on 62 reviews, and has 621 subscribers.

You will learn about Foundation course before jumping on bandwagon of data science and big data 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 Learn live examples of usage of Big data analytics and sharpen the analytics quotient This course is ideal for individuals who are Big data beginners or fresh graduates or Practitioners of BI It is particularly useful for Big data beginners or fresh graduates or Practitioners of BI.

Enroll now: Guide to Big Data Analytics: Origination to Opportunities

Summary

Title: Guide to Big Data Analytics: Origination to Opportunities

Price: $19.99

Average Rating: 4.55

Number of Lectures: 59

Number of Quizzes: 7

Number of Published Lectures: 59

Number of Published Quizzes: 7

Number of Curriculum Items: 66

Number of Published Curriculum Objects: 66

Number of Practice Tests: 1

Number of Published Practice Tests: 1

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Foundation course before jumping on bandwagon of data science and big data

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

Learn live examples of usage of Big data analytics and sharpen the analytics quotient

Who Should Attend

Big data beginners or fresh graduates

Practitioners of BI

Target Audiences

Big data beginners or fresh graduates

Practitioners of BI

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. This is a must basic course for those who wants to make a career in data science.     

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.

  This course has a strong community of around 425 students with some of the great review  like:

 

–“This course provides an overview of big data in one place which is a nice alternative to searching endlessly, hoping to comprehensive overview” 

“Information started from beginning of Big data. Leter chapters are more interesting which tells the role of big data everywhere” 

“Later chapters are more engaging and lectures are more engaged” 

“Interesting information”

“Good relevant information “ 

So, what are you waiting for. We wish you happy journey for “Big Data Analytics” course

 

 

 

Course Curriculum

Chapter 1: Strategic Guide to Big Data Analytics

Lecture 1: Course Overview

Chapter 2: Big Data :: Introduction, its origination, explosion & use cases

Lecture 1: Introduction to Big Data

Lecture 2: Big Data Big Business

Lecture 3: Big Data :: Big Science :: Use Case

Lecture 4: Big Data Analytics for Business :: Use Case

Lecture 5: Big Data is helping us become Proactive

Chapter 3: Big Data :: Characterstics

Lecture 1: Characteristics of Big Data

Chapter 4: Big Data :: Issues

Lecture 1: Big Data :: Issues / Problems :: 1

Lecture 2: Big Data :: Issues / Problems :: 2

Lecture 3: Big Data :: Issues / Problems :: 3

Lecture 4: Big Data :: Issues / Problems :: 4

Lecture 5: Big Data :: Issues / Problems :: 5

Lecture 6: Big Data :: Issues / Problems :: 6

Lecture 7: Big Data :: Issues / Problems :: 7

Lecture 8: Big Data :: Issues / Problems :: 8

Chapter 5: Challenges Associated with Big Data

Lecture 1: Challenges in Big Data :: 1

Lecture 2: Challenges in Big Data :: 2

Lecture 3: Challenges in Big Data :: 3

Lecture 4: Challenges in Big Data :: 4

Lecture 5: Test your progress – 1

Chapter 6: Big Data Analytical Platforms

Lecture 1: Big Data & BI

Lecture 2: Big Data :: Analytical Platforms

Chapter 7: Big Data :: Storage & Architecture Properties

Lecture 1: Big Data :: Storage

Lecture 2: Big Data Storage :: Characteristics 1

Lecture 3: Big Data Storage :: Characteristics 2

Lecture 4: Big Data Storage :: Characteristics 3

Lecture 5: Big Data Storage :: Characteristics 4

Lecture 6: Big Data Storage :: Characteristics 5

Lecture 7: Big Data Storage :: Characteristics 6

Lecture 8: Big Data Storage :: Characteristics 7

Lecture 9: Big Data Storage :: Characteristics 8

Lecture 10: Big Data Storage :: Characteristics 9

Lecture 11: Big Data Storage :: Characteristics 10

Chapter 8: Big Data :: Big Benefit :: Big Industry

Lecture 1: How Big Data is benefiting Industries?

Lecture 2: Test your progress – 2

Chapter 9: Hadoop

Lecture 1: Hadoop :: Introduction

Lecture 2: Hadoop :: Storage Basis

Lecture 3: Hadoop :: Challenges

Lecture 4: Getting more into Hadoop

Lecture 5: Hadoop :: Benefits

Chapter 10: Data Visualization :: Making Big Data more Valuable

Lecture 1: What is Data Visualization? & How Organizations are benefiting?

Lecture 2: Advantages of Data Visualization

Lecture 3: Visualization :: Another V for Big Data?

Lecture 4: Data Visualization Techniques

Chapter 11: Web2.0, Social Media & Impact on Organization

Lecture 1: What is Web 2.0?

Lecture 2: Social Networks & Web 2.0

Chapter 12: Analytical Models & Abstracting sense for Organization

Lecture 1: Different Analytical Models :: Intro

Lecture 2: Analytical Model 1

Lecture 3: Analytical Model 2

Lecture 4: Analytical Model 3

Lecture 5: Analytical Model- Extracting sense for organization

Chapter 13: Social profiling of customer and Augmenting business intelligence

Lecture 1: Social Profiling of a customer

Lecture 2: Use Cases :: Social Profiling of a customer helping Enterprises

Chapter 14: Sentiment Analysis and Driving Intelligence out of it

Lecture 1: Sentiment Analysis :: Overview

Lecture 2: Sentiment Analysis :: Tools

Lecture 3: Real time response to combine intelligence

Lecture 4: Real time response to combine intelligence :: Use Case

Chapter 15: Big Opportunities Big Security

Lecture 1: Big Data Opportunities

Lecture 2: Big Data Drivers & Big Security

Instructors

RankOne Consulting
Experts in Telecom, Big data, Cyber security and IOT domain

Rating Distribution

1 stars: 3 votes

2 stars: 8 votes

3 stars: 16 votes

4 stars: 17 votes

5 stars: 18 votes

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