Statistical Data Analysis Course – Level 11


Leaders in various fields including health have used statistics to back up decisions and afford leadership in an unbiased manner. Statistics can provide objective goals with stand-alone figures as well as hard evidence to substantiate positions or provide a level of certainty to organizations. This advanced level course focuses on the appropriate application of multivariate techniques in data analysis for research and decision making.

Course Aim: The course is designed to strengthen the participant’s knowledge in determining appropriate multivariate techniques and the practical application of these techniques in data analysis and interpretation of the results.

Who Can Apply? : Do you have basics skills in statistics or statistical data analysis? This course targets professionals, project/progamme managers and post graduates students who would like to improve their skills on the application of multivariate techniques in their respective fields.  This course is designed to break these barriers in using multivariate methods and enhance one’s knowledge and skills in data analysis and interpretation.

Course Description

This is hands on practical course using Statistical Packages of Social Sciences (SPSS) computer software and participants will gain knowledge and skills on:

  1. Application  of  bivariate techniques
  2. Appropriate multivariate methods
  3. Application of various multivariate methods
  4. Statistical model selection and assessment
  5. How to make inferences and conclusions from statistical procedures

Level 11 2019 Training Dates

Month  Course Date  2019  
April 15th- 18th
August  12th -15th
November  11th 14th


Course Fees:  Thirty thousand Kenya shillings only (KES 30,000); 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: +254-20-699 3205 or Mobile +254 741 743 871

Email: [email protected]