(A Div. of Mindmap IT Solution (P) Ltd)

Data Analytics & Machine Learning

Course Introduction

Why Data Analytics and Machine Learning?

Data is being generated at an ever increasing rate. It is originating not only from the conventional sources such as business interactions, scientific research and social media, but also from newer agents like millions of devices that are collectively known as the “Internet of Things” or IOT. This massive quantity of data is impacting the way in which we approach the task of “problem solving”. Instead of creating very specific algorithms targeting specific problems, it is being asked: “Can we have systems that intelligently learn from the available data – and also adapt themselves to changing situations?” While Big Data addresses the issue of handling very large data, the field of Data Analytics and Machine Learning is more concerned with “extracting hidden intelligence” from the available data. Thus Data Analytics is the “brain” while Big Data is the muscle power!

Mastering Data Analytics will create a strong foundation for facing the data challenges of the near and the far future, and position you for a promising professional future!

Training Highlights

Defining Data Analytics and its applications – through case studies
Coverage of Statistics from an application's perspective
The “R” statistical environment - Introduction
Workshop: Hands-on sessions to solve practical problems using “R”
Workshop: Use of “R” and Statistical Modelling to solve Business Problems
Introduction to advanced statistical methods – and applications
Machine Learning – An Introduction
Workshop: Use of Machine Learning tools to solve real problems
Data Analytics and Machine Learning: Trends and the Future
Data Analytics and Machine Learning as a profession

Intended Audience

Technical Managers and Team Leaders tasked with the responsibility of data analytics
Programming Professionals and Students who intend to seriously consider Data Analytics as their career option
Project Managers (with programming background) who would like to bid for Data Analytics projects and lead the delivery teams
Marketing and Sales professionals (with programming background) who would like to understand what Data Analytics and Machine Learning is all about and use available data for simulation, forecasting, and even package and effectively market / sell Data Analytics offerings.

Exercises

The course relies on a number of workshops to introduce participants to Data Analytics and Machine Learning techniques
The “R” analytics software is introduced and taught as part of the course
Using real stock market data, participants are taught how to use tools like “R” to extract intelligence from data (analytics)
Machine learning is introduced through the use of “R” and Mahout

Learning Objectives

To get a good grip on Data Analytics and Machine Learning
To understand the statistical concepts behind Data Analytics and Machine Learning
To learn analytics software “R”
To apply “R” to solve real problems
Machine learning is introduced through the use of “R” and Mahout

Benefits

Benefits for Individuals

Get a good grip on Big Data and Data Analytics
Gain the ability to identify and classify data analysis problems – and identify solutions
Hands-on introduction to the “R” Statistical Analysis package – and its applications
Apply the acquired concepts to practical situations – such as Business Data Analysis – to support decision making
Get a practical introduction to Machine Learning techniques.