Data Analysis, an important branch in mathematical sciences, is very vital today for all professionals, particularly for researchers, engineers, managers and analysts. The world is very dynamic today, especially with reference to abundance of information and multidisciplinary research
With the availability of various multivariate techniques and user-friendly statistical software, the ability to analyse large amount of data is not only desirable, but a necessity for any professionals. Such techniques and software are usually very complex and confusing for the uninitiated.
There are several issues in this process like selection of appropriate technique, selection of right software, interpretation of results and so forth. The objective of this programme is to emphasize broad range of techniques for data analysis and to foster multi-disciplinary research in these areas.
TOPICS TO BE COVERED
Module 1: Introduction to MDA
Module 2: Modelling Strategy
Module 3: Basic Understanding of Data
Module 4: Hypothesis Testing 2
Module 5: Analysis of Variance
Module 7: Regression Modelling
Module 8: Regression Strategy
Module 9: Panel Data Modelling
Module 10: Time Series Modelling
Module 11: Time Series Strategy Module
Module 12: Discriminate Analysis
Module 13: Conjoint Analysis
Module 14: Cluster Analysis
Module 15: Factor Analysis
Module 16: Structural Equation Modelling
WHO CAN ATTEND?
The course is addressed to corporates, executives and academicians only.
HOW TO APPLY?
Download the registration form. The filled registration form along with course fee should reach the course coordinator on or before April 30, 2017.
- Last date for application: April 30, 2017
- Course dates: June 5-10, 2017
For more information, please visit the official notice given here.