Data Analytics

Data Analytics Course

Introduction: 
Data analytics (DA) is the process of examining data sets in order to find trends and draw conclusions about the information they contain. Increasingly, data analytics is done with the aid of specialized systems and software.

Objectives: 

Understand foundations of data analytics so that you can interpret and communicate results and make informed decisions

Study and learn to apply common statistical methods and machine learning algorithms to solve business problems

Learn to work with popular tools to analyze and visualize data; more importantly encourage consistency across departments on analytics/tools used

Course Outlines:

Introduction

Newer Kind of Data

Data Strategy

Components

Analytics Tools

Interpretation & Action/Decision

R Code Demo

Course Format

Session Format

R Language

Who should attend?

Students

IT Professionals

Learning Outcomes:
This course will make you work with the cloud for data storage and for the deployment of applications

Learn methods for mastering and applying emerging concepts and technologies for continuous data-driven improvements to your business processes

Transform complex analytics into routine processes effortlessly, allowing you to add colour and clip art. Writing in various fonts and sizes and using tables, borders & bullet formatting reduces tediousness and increases productivity.