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India
SPSS COURSE Introduction SPSS refers to the ‘Statistical Package for the Social Sciences’. It is a software package used for statistical analysis. It is owned by IBM since 2009. It is widely used program for Statistical analysis in Social Sciences, Business and Management studies, as well as other fields such as Medical, and even physical sciences. SPSS is comparatively much easier and user friendly software as many options can be accessed via drop down menu just like MS Office and normal Windows interface. Application/Uses • SPSS is mostly used by students of Bachelors, Masters, and PhD level for managing and analyzing data for their research projects/thesis/dissertations. • SPSS is also used by academics for writing top class articles in local as well as International journals. • SPSS is suitable for organizations who want to train their employees for analyzing data related to customers, production, quality control, etc. • SPSS can be used by politicians, Police, and other social Institutions to track demographic and other related information. Course Contents Session Topic Technique/Test 1st Introduction Inputting data and Variables 2nd Data Transformation and Reliability Analysis Variable creation, Cronbachs Alpha 3rd Descriptive Statistics Measure of Central Tendency, Measure of Dispersion, Charts, Graphs, Chi-Square, Crosstabs 4th Comparison One Sample t-test Independent Sample t-test Paired Sample t-test F-Test (Anova) 5th Correlation Spearman and Pearson correlation Partial correlation 6th Regression Regression and its Assumptions 7th Qualitative Regression Dummy Variable 8th Factor Analysis Exploratory Factor Analysis and Confirmatory Factor Analysis through AMOS 9th Structural Equation Modeling Path Analysis, Mediation etc. through AMOS Mode of Teaching= One to One via Skype or Team Viewer software Fee= $200 for full course For more details contact on the following Email: onlinetrainingsolution@gmail.com Skype Id: faireast1 Blog: Spssonlinetraining1.blogspot.com Mobile: +92-3239256994
₹ 10.000
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India (All cities)
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