Course Title: Statistical data processing
with SPSS, XL STAT and R
Method
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Active teaching method combining lectures, exercises and practical applications.
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Applications in SPSS , XLSTAT and R.
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On- campus and Live Online
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One Full Day Session
Course Content: 1st Half
1. Sampling methods
- Probability sampling
- Non-probability sampling
2. Bivariate analysis
- Two variables Quantitative Data
- Graphical representation: the scatterplot
- Interpreting the correlation coefficient
- Fitting a regression line
- Two ordinal variables
- Coefficient de corrélation sur les rangs de Spearmann*
- Categorical variables
- Graphical representation: profile bar chart
- Contingency table
- Chi-2 statistic
- Anova (analysis of variance)
Course Content: Second Half
1. The principles of multivariate analysis
- Principal Component Analysis (PCA)
- Multiple correspondence analysis (MCA)
- Hierarchical-based clustering methods
- K means clustering
2. Data modeling
- The concept of dependent and explanatory variables;
- Linear and log-linear modeling;
- Probit modeling (qualitative variable following a normal distribution);
- Logistic modeling (qualitative variable following a logistic distribution);
- Structural Equation Modeling Analysis [SEM] DATA SCREENING (Missing Data, Outlier, Normality, Linearity, Homoscedasticity) Multicollinearity), Exploratory Factor Analysis [EFA], Discriminant Validity, Confirmatory Factor Analysis & Model Fit)
| Day/Date | Total Amount | Credit/Debit Card |
|
Flexible / Customized |
GBP 50 | Add to Cart |
LISD - ILC Morocco Centre Incharge
Dr. Kamal Zahraoui
Ph.D. – Economic Sciences
Faculty at Hassan II University,
Casablanca, Morocco