About this 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.
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