Statistics, Data Analysis, Visualization,Ml, R And Python
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I will perform data analysis using quantitative research methods with appropriate software
SPSS
STATA
Eviews
AMOS
Smart PLS
Main statistical analysis techniques
Descriptive Statistics, Frequency Distribution, Graphical Representation (Mean and Std. Deviation, Skewness and Kurtosis)
Test of Normality (KolmogorovSmirnov test & ShapiroWilk test)
Chi-square, Phi & Cramer’s V
Outliers Detection (Box plot, Histogram & Quantile-Quantile Plot)
Correlation Analysis (Parametric and Non-parametric)
Regression Analysis (Linear Regression, Non Linear Regression, Logistics Regression and Multinomial Logistic Regression)
Reliability Analysis
Validity Analysis (Exploratory Factor Analysis & Confirmatory Factor Analysis)
Mediation and Moderation Analysis
Structural Equation Modelling (SEM)
T-Test, ANOVA, Manova and Mancova
Unit Root
Co-integration
Granger Causality
ARDL
VECM, Var
Event Study Analysis
GARCH model
Fixed and Random Effect Models
GMM Model
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