Advanced Data Analysis (Electives POM)

Paper Code: 
MBP- 522
Credits: 
4.0
Contact Hours: 
40.00
Max. Marks: 
100.00
Objective: 
  • To acquaint with the use of advanced data analysis techniques in decision making.
6.00
Unit I: 
Introduction to Advanced Data Analysis

Meaning and scope of advanced data analysis, utility of data analysis in decision making, precautions in data analysis usage.

8.00
Unit II: 
Dimensional Reduction Techniques

Introduction to principal component analysis, factor analysis, clustering techniques for discovering patterns from large datasets.

7.00
Unit III: 
Multiple Correlation and Regression

Correlation and regression basics, Applicability of multiple correlation and regression models, limitations of multiple correlation and regression.

11.00
Unit IV: 
Time Series Analysis

Meaning of Time Series, Components of Time Series, Methods of determining long term and short term trend, advantages and disadvantages of time series analysis.

8.00
Unit V: 
Statistical Softwares

Introduction to statistical softwares used in data analysis, Introduction to the basic functions of SPSS.

Essential Readings: 
  • Ramsey and Schafer, The Statistical Sleuth: A Course in Method of Data Analysis, Duxbury.
  • Duncan Cramer, Advanced Quantitative Data Analysis, Open University Press, 2005.
References: 
  1. Yavana Rani, Advanced Statistical Data Analysis, Scitech Publishers
  2. Advanced Data Analysis, Sage Publications, Inc.
  3. Alonso V. Jaques, Development of Advanced Methods for Analysis of Experimental Data in Diffusion, Proquest , Umi Dissertation Publishing, 2011.