Statistical Data Analysis Course – Level One


Preamble

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.

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

 Contact us on: Amref International University

Department of Community Health Practice

P.O. Box 27691 – 00506 Nairobi, Kenya

Call:  +254 (0)741 743 871  or +254 020 699 3205

Email: enquiry@amref.ac.ke