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Introduction Big Data Analytics

Introduction Objective: Certifications: Pre-requisites
Big data analytics is the process of examining large and varied data sets -- i.e., big data -- to identify patterns from within the data, unknown correlations, market trends, customer preferences and other useful information that can help organizations make informed business decisions 1.This course gives a foundation level on big data and the state of the practice in analytics .
2.It provides grounding in basic analytic methods .
3.Introduction to big data analytics technology and tools, including R Programming and Hadoop .
4.To know how Applications of Big Data Drive the different Industries .
Introduction to Big Data Analytics Any Science,Management Degree & Diploma3.5 Hrs11.5 Hrs

Table Of Content Big Data

Sub Topics Methodology In Min
     
What is Big Data Analytics? PPT & Video 90
Data Structure
Data Analytics
Big Data Analytics in Industry Verticals
Benefits of Big Data Analytics
Data Science Vs. Big Data Vs. Data Analytics
     
Business Intelligence (BI) versus Data Science PPT 60
Current Analytics Architecture
Drivers of Big Data
Emerging Big Data Ecosystem and new approach
     
Data Analytics Lifecycle PPT 90
Strategic Roles For A Successful Analytics Project
Background And Overview Of Data Analytics Lifecycle
     
Types of Data Analytics-a) Discreptive statistic b)Inferential Statistics PPT 90
Parametric and Non-Parametric Statistics
     
Introduction to R PPT 90
Downloading and Installing R
R Graphical User Interfaces
Attribute And Data Types
Reading data into R
     
Hadoop Overview PPT 140
Hadoop Ecosysytem
Advantages of Hadoop
     
Walmart PPT 40
Airbnb
Facebook
Google
     
Total Min   600