SPSS In Industrial & Academic Research
- 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.
|1||Introduction to SPSS Package||Basics of data, Information, Tools|
|2||Perform simple operations with data||Define variables, recode variables, create dummy variables and Data Validation||Canadian super store case study|
|3||Perform the basic data analysis procedures||Frequencies, Descriptive, Explore, Means, Crosstabs||Nintendo company case study|
|4||Perform the main one-sample analyses||One-sample t test, and chi square for goodness of fit||Goodwill company case study|
|5||Execute the analyses for means comparison||t test, between-subjects ANOVA, repeated measures ANOVA, nonparametric tests (Mann-Whitney, Wilcoxon, Kruskal-Wallis etc.)||Quantum company case study|
|6||Compute and interpret various types of reliability indicators||Cronbach's alpha||Validation|
|7||Use the main grouping techniques||Cluster analysis and discriminant analysis||Hertz case study|
|8||Perform the tests of association & regression analysis||Pearson and Spearman correlation, partial correlation and chi square test for association||Nike company case study|
The course is open for
- 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
|Research Scholars||Rs. 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).
- 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.
|Programme Title||Start Date||End Date|
|A Focused Workshop on Stimulating Startups||Wednesday, December 18, 2019||Wednesday, December 18, 2019|
|One Day Workshop on “Implementation of Lean Methodology”||Sunday, December 22, 2019||Sunday, December 22, 2019|
|SPSS & AMOS in Industrial & Academic Research||Friday, September 20, 2019||Saturday, September 21, 2019|
|HR & Workforce Analytics||Thursday, August 1, 2019||Friday, August 2, 2019|
|Digital Marketing||Saturday, April 6, 2019||Sunday, April 7, 2019|
|Business Accelerator||Wednesday, December 5, 2018||Friday, August 31, 2018|
|Advanced MS-Excel||Friday, February 15, 2019||Friday, February 15, 2019|