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 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.

This tutorial has been prepared for software professionals aspiring to learn the basics of Big Data Analytics. Professionals who are into analytics in general may as well use this tutorial to good effect.

Before you start proceeding with this tutorial, we assume that you have prior exposure to handling huge volumes of unprocessed data at an organizational level.

Through this tutorial, we will develop a mini project to provide exposure to a real-world problem and how to solve it using Big Data Analytics. You can download the necessary files of this project from this link: http://www.tools.tutorialspoint.com/bda/

Course Content

Big Data Analytics Tutorial
Big Data Analytics Home
Big Data Analytics Overview
Big Data Analytics Data Life Cycle
Big Data Analytics Methodology
Core Deliverables
Key Stakeholders
Big Data Analytics Data Analyst
Big Data Analytics Data Scientist
Big Data Analytics Project
Data Analytics Problem Definition
Big Data Analytics Data Collection
Big Data Analytics Cleansing Data
Big Data Analytics Summarizing
Big Data Analytics Data Exploration
Big Data Analytics Methods
Big Data Analytics Introduction to R
Data Analytics Introduction to SQL
Big Data Analytics Charts & Graphs
Big Data Analytics Data Tools
Data Analytics Statistical Methods
Advanced Methods
Machine Learning for Data Analysis
Naive Bayes Classifier
KMeans Clustering
Association Rules
Big Data Analytics Decision Trees
Big Data Analytics Logistic Regression
Big Data Analytics Time Series
Big Data Analytics Text Analytics
Big Data Analytics Online Learning
Big Data Analytics Useful Resources
Big Data Analytics Quick Guide
Big Data Analytics Resources
Big Data Analytics Discussion

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