Statistical Data Analysis Course - Level 1 (Evening Class)


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Many professionals, project/progamme managers, graduate and post graduates students struggle with statistical data analysis, yet programmes/projects always demand for these practical skills. This course is designed to break these barriers in using statistical approaches and enhance one's knowledge and skills in statistical data analysis

Course Aim

The aim of the course is to build the capacity of professionals, project /programme managers with practical skills on the appropriate application of statistical methods in data analysis.

Who Can apply?

Are struggling with statistical data analysis? This course targets professionals in all fields including health, education, social sciences, business and agriculture among others. Project/progamme managers, monitoring and evaluation persons, graduate and post graduates students who would like to improve their skills on the practical application of statistical techniques in their respective fields can apply. 

Course Outline

  1. Introduction to data analysis using SPSS: Description of types of data, variables, Use of , SPSS Interface, data view, data entry, data cleaning, How to import external data into SPSS, how to recode and data transformation.
  2. Univariate analysis: descriptive analysis based on the type of data, appropriate use of frequency distributions, measures of central tendency and variation, measure of relative standing, data presentation, use of boxplots, histograms and bar charts.
  3. Bivariate analysis: The process of selecting an appropriate statistical test. The process of hypothesis testing. Application of T-tests (One sample t-test, Paired T-test and independent test). Use of correlations and chi-square tests. Interpretation results from statistical analysis.

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