Data Analytics

1. This  On-line Training is aimed at  working professionals or graduates or students who are looking forward to job oriented skills  on this subject. 
2. This is an Introduction Training , for BEGINNERS, with 6  Hours of Training. 
3. Registration has started NOW for Batch A (Agriculture Domain) and Batch B (Mechanical, Aeronautical, Marine, Automobile, Energy & Manufacturing domains)
4. The Big Goal of this TRAINING is to ORIENT the trainees  towards Industry latest demand in Data Analytics and AI

Registration by eMail to raju@jnana.co.in. 

Please indicate your a) Name b) Mobile Number c) Name of College & Branch 

1. The trainer Prof Raju Sagi (M. Tech - Mech , from IIT KGP;   M.S. - Aeronautical from Carleton University, Canada;   MBA - EDP from IIM, Bangalore) has 30 years of Engineering cum IT industry experience.  
2. Has 6 years of Academic teaching experience at foreign University and IIITs with over 900 Hrs of  Corporate cum Academic Trainings. 
3. Worked for 9 years under the leadership of Dr APJ Abdul Kalam sir in Ministry of Defense in the Design & Development of India's first fighter Aircraft TEJAS. 
4. Has over 18 years of experience in Analytics domain with various Industry Use Cases and Technologies. 
5. He has taught Data Analytics subject for Final year Engineering & First year M. Tech students at IIITs.

Module 1 

Industry Context

- Industry Trends in Data Analytics & AI

- Industry Use Cases & Tools

- Industry Demand 

- Industry Career Opportunities 

Module 2

Introduction to Data Analytics

- Data, Variance & Measurements

- Analytics & Analysis

- Role of Analytics in Business

- Data Analytics & Business Analytics

- Statistics & Data Analytics

- Statistics & ML

- Data Analytics & Data Science

- Data Phases in Technology

- Data Analytics Tools

Module -3

Descriptive Statistics:

- Types of Statistics

- Measures of Central Tendency

- Measures of Variability

- Measures of Divergence

- Measures of Probability

Module-4

AI and ML

- AI and its Applications

- ML and its Applications

- ML Algorithms