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Venue: KV Institute Of Management And Information Studies
Start Date: Tuesday, January 29, 2019
End Date: Tuesday, January 29, 2019
Last Date For Registration: Friday, January 25, 2019
  • Overview
  • Content
  • Who Should Attend
  • Programme Director
  • Programme Charges

80% of the world's data has been collected over the past few years. Overwhelmed by such large scores of data, researchers and organizations are attempting to extricate the ground-breaking experiences they have to settle on more quick witted business and research decisions. To this tune, KV Institute of Management and Information studies created a live session on SPSS : Making Data-Driven Research and Business Decisions for Students, Researchers, Industrial professionals hoping to tackle information in new and imaginative ways.

The uplifting news : This session does not require prior experience in statistical tools (SPSS etc) On the off chance, all that is needed is the specific fundamental factual ideas about data and business. All the factual strategies are introduced in a basic, clear way, maintaining a strategic distance from the specialized language and the scientific equations however much as could be expected.

MODULETOPICDETAILSASSIGNMENT
1Introduction to SPSS PackageBasics of data, Information, Tools 
2Perform simple operations with dataDefine variables, recode variables, create dummy variables and Data ValidationCanadian super store case study
3Perform the basic data analysis proceduresFrequencies, Descriptive, Explore, Means, CrosstabsNintendo company case study
4Perform the main one-sample analysesOne-sample t test, and chi square for goodness of fitGoodwill company case study
5Execute the analyses for means comparisont test, between-subjects ANOVA, repeated measures ANOVA, nonparametric tests (Mann-Whitney, Wilcoxon, Kruskal-Wallis etc.)Quantum company case study
6Compute and interpret various types of reliability indicatorsCronbach's alphaValidation
7Use the main grouping techniquesCluster analysis and discriminant analysisHertz case study
8Perform the tests of association & regression analysisPearson and Spearman correlation, partial correlation and chi square test for associationNike company case study

 

 

The course is open for

  • Student
  • PhD candidates
  • Academic Researchers
  • Business Researchers

Anyone looking for a career in statistical analysis
Anyone with interest in quantitative research

Dr. S. Lara Priyadharshini, "The Best Professor 2017-18" in the areas of "Academics and Research" with interests in Human Resource Management, Organizational Behaviour and also one of the reputed Data Analyst, Researcher in statistical discipline. Her scientific accomplishments are many, with the most well-known being handling the SPSS and AMOS algorithm which was a landmark in the field of statistics, providing a unifying computational approach to evaluation of data sets. She has also worked closely with different manufacturing and service industries in to areas of G-Suite applications, Excel Modelling and Power Business Intelligence for Business Data Analysis. She has presented and her paper was accepted in various National and International Conferences.

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The Program Charges are as follows

Delegate CategoryAmount
CorporateRs. 2000/-
AcademiciansRs. 750/-
Research ScholarsRs. 500/-
StudentsRs. 500/-

  • Maximum Number of Participants : 30
  • Your participation should be confirmed by us before attending the course. Delegate fee is non-refundable.
  • Registration: “First-come-First Serve” and based on a selection process by Department of Research (DoR) and Department of Executive Education (DoEE).

IMPORTANT NOTE:

  • Certificate of participation for those who attend all sessions.
  • Refreshment and working lunch will be provided.
  • Spot payment is permitted, require prior registration online along with acceptance from DoR and DoEE.
  • Attendance certificate will be issued on request.
  • Participants are expected to have basic Computer & Research knowledge to attend.
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