Certificate Course in Statistical Package for the Social Sciences (SPSS)
Data analysis is one of the most flourishing fields right now as businesses around the world are trying to make sense of their data. However, there are several data analysis tools available in the market, but SPSS is a suite of software programs that analyses scientific data related to the social sciences. It offers a fast-visual modelling environment that ranges from the smallest to the most complex models. SPSS is designed to accommodate a wide variety of variable data formats, including Excel, CSV, SAS, and Stata data files. The data obtained from SPSS is used for surveys, data mining, market research, etc. SPSS training enables you to master all the essential concepts of SPSS for performing data analysis and statistics through hands-on exposure to industry use cases.
What will you learn?
Highlights
SPSS,
Statistics,
Analysis,
Data,
Regression,
Types of Variables,
Descriptive Statistics,
Hypothesis,
Normality Distribution,
Skewness,
Kurtosis,
Central Tendency,
Measures of Partitions,
Dispersion,
Standard Deviation,
Coefficient of Variation,
Inferential Statistics,
Kolmogorov-Smirnov Test,
Shapiro-Wilk Test,
Parametric Tests,
Z Test,
Student's t Test,
Modified t Test,
Paired t Test,
ANOVA,
ANCOVA,
MANOVA,
MANCOVA,
Non-Parametric Tests,
Sign Test,
Wilcoxon Signed-Rank Test,
Mann-Whitney U Test,
Kruskal-Wallis H Test,
Friedman Test,
Runs Test,
McNemar's Test,
Chi-Square Test,
Kappa Statistics,
Correlation,
Pearson's Correlation,
Spearman Rank Correlation,
Logistic Regression,
Bivariate Logistic Regression,
Ordinal Logistic Regression,
Cluster Analysis,
Hierarchical Clustering,
K-Means Clustering,
Principal Component Analysis,
Factor Analysis,
Discriminant Function Analysis,
Survival Analysis,
Descriptive Statistics,
Hypothesis Testing,
ANOVA,
Correlation Analysis,
Time Series Analysis,
Multivariate Analysis,
Data Visualization.