- Introduction to IBM SPSS Statistics
- Registration and Downloading of SPSS software.
- About SPSS software
- Introduction to Research Methodology
- Data Loading in SPSS through Questionnaire,
- Data View, Variable View
- Width, Label, Values, Decimals, Measure,
- Data Management through Transformation,
- Normality tests
- Shapiro-Wilk, Kolmogorov Smirnov tests,
- Normality check through Histogram, Skewness and Kurtosis.
- Split File for running more numbers of commands in one attempt.
- Descriptive Analysis
- Charting with SPSS
- Explore, P P Plots and Q Q Plots and Interpretations
- One Sample t test, critical value method, p-value method, Confidence Interval method
- Independent Sample t-test and Paired Sample t test.
- Chi-square test for testing association between attributes
- ANOVA, multiple comparisons
- Factorial ANOVA, F-Statistics and p-values
- Correlation
- Simple Linear Regression, R Square, Adjusted R Square,
- Autocorrelation and Durbin Watson Statistics
- Clustering with SPSS
- Non-parametric Analysis
- Non-parametric Analysis, one sample
- Non-parametric Analysis, independent sample
- General Linear Models
- Logistic Regression
- Neural Networks
- Finalization of the software
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
|
Mode of Delivery
Video and Text Based
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Frequency of Classes
Weekdays, Weekends
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Course and certificate fees
certificate availability
Yes
certificate providing authority
Mindmajix Technologies
The syllabus
SPSS Course Content
Practice Test & Interview Questions
Articles
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