AMIU Statistical Data Analysis Course – Level One | AMIU Statistical Data Analysis Course – Level One | AMIU Statistical Data Analysis Course – Level One
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
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.
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.
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.
Course duration: 3 days, the course recognizes that many that would be participants cannot take a week off from work to study. The course is designed for only three (3) days, and the learners will make maximum use of their time and gain the required knowledge and skills.
Level 1 2018 Training Dates
Month
Fulltime Class (Dates)
Evening Class (Dates)
March
6th – 8th
12th – 15th
May
8th – 10th
21st – 24th
July
3rd – 5th
16th – 19th
September
4th – 6th
17th – 20th
November
13th – 15th
Fees: Eighteen thousand Kenya Shillings (KES 18,000), the fee covers tuition fees, lunch (fulltime option), tea and snacks, water, training materials and certification
