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Learn BIG DATA Complete Guide (OFFLNE) for Android

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Key Details of Learn BIG DATA Complete Guide (OFFLNE)

  • The volume of data that one has to deal has exploded to unimaginable levels in the past decade, and at the same time, the price of data storage...
  • Last updated on January 17, 2020
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Developer's Description

The volume of data that one has to deal has exploded to unimaginable levels in the past decade, and at the same time, the price of data storage...

The volume of data that one has to deal has exploded to unimaginable levels in the past decade, and at the same time, the price of data storage has systematically reduced. Private companies and research institutions capture terabytes of data about their users interactions, business, social media, and also sensors from devices such as mobile phones and automobiles. The challenge of this era is to make sense of this sea of data.

This is where big data analytics comes into picture. Big Data Analytics largely involves collecting data from different sources, munge it in a way that it becomes available to be consumed by analysts and finally deliver data products useful to the organization business. The process of converting large amounts of unstructured raw data, retrieved from different sources to a data product useful for organizations forms the core of Big Data Analytics. In this tutorial, we will discuss the most fundamental concepts and methods of Big Data Analytics.

We Cover Topics Like

Data Life Cycle

Methodology

Core Deliverables

Key Stakeholders

Data Analyst

Data Scientist

Big Data Analytics Project

Problem Definition

Data Collection

Cleansing data

Data Visualization

Data Exploration

Summarizing

Big Data Analytics Methods

Introduction to R

Charts & Graphs

Data Tools

Statistical Methods

Advanced Methods

Machine Learning for Data Analysis

Naive Bayes Classifier

K-Means Clustering

Association Rules

Decision Trees

Logistic Regression

Time Series

Text Analytics

Online Learning


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