Data Analysis هذه الدورة تدرس باللغة الإنجليزية

تفاصيل الدورة

Theory: 

• Overview of Statistics 
  
• Definition of Statistics
  
• Stages in Statistics; Designing of studies, collection of qualitative data, describing data, analysis of data, interpretation of results, drawing of conclusion and making statistical inference.
  
• Levels of Measurement
  
• Hypothesis testing
  
• Correlation analysis
  
• Regression analysis

• Importing, exporting files from and to excel spread sheet respectively and saving files in SPSS format.
  
• Labelling, giving values and stipulating missing values on variable and data view of SPSS spread sheet
  
• Ranging of numerical (interval and ratio) variables
  
• Transforming of variables ((i) finding the natural log of variables (ii) performing basic operations (iii) creation of new variables from the existing ones.
  
• Splitting of data files into different categories
  
• Describing data (tables, pie chart, bar charts: simple, clustered/multiple and stacked/component bar charts, area chart, measure of central tendency and measure of dispersion)
  
• Test of significance difference (Parametric tests t-test and ANOVA test and Non-parametric test chi square test, Mann Whitney U test and Kruskal Wallis test)
  
• Correlation analysis
  
• Regression analysis (Estimation of the four functional forms viz., linear, semi-log, double-log and exponential to select the lead equation)