Qualitative Data Analysis Using SPSS

The course is a special course in Applied Statistics for Social Scientists and Business Professional and Using SPSS v20. The course is equally important to the beginners and advanced learners in Statistics, Social Sciences, Business and Management and Qualitative Data Analysis who want to blend their experimentation with their modeling and analysis using SPSS. The main objective of the course is to introduce the Theory and Application of Statistics and how to use the powerful Statistical Tool, SPSS. Objective of the course is specifically to develop strong academic knowledge in Applied Statistics and Qualitative Data Analysis Using SPSS.

The course is planned in three sections:

·         12 Weeks/Three Month Long Sessions

·         Eight Week/Two Months Sessions

·         Four Weeks/One Month Sessions

Registration Open: Click Here

·         Registration starts: Today

         Course Begins: Each Weekend

Main contents are:

·         Nature of Qualitative Data

·         Exploratory Statistics

·         Regression Analysis and Diagnostics

·         Factor Analysis

·         Regression Models with Limited Dependent Variable

  

All these topics will be discussed in context of SPSS

The course fee structure is designed;

For Individuals:

• ·         Default (Pre-selected topics): 200GBP for three months,
• ·         Can Be Requested via email: 250 for two months
• ·         Can Be Requested via email: 300 for One Month Special

 For Groups/Institutions:

• ·         Default: 500GBP per Month,
• ·         Can Be Requested : 800GBP for Two ­­­­­Months

Selected topics will be offered during the two and One Month courses, and is optional for Three Month course. Additional topics would also be covered. 

SPSS Datasets, EBooks, Manuals, EBooks and weekly lecture slides will be provided before commencement of each lecture. 

The course will be offered to those who register on http://elearning.aneconomist.com. Only confirmed registrants would be provided enrollment keys for the courses. Fee should be submitted within 7 days of the online registration. Seats are limited so first come and first serve is the principle for registration.