Biostatistics and Epidemiology for Public Health Research (STATA)

Course Details:

Dates : 05th November, 2018 - 16th November, 2018
Duration : 10 Days (8:30am - 4:30pm)
Venue : Nairobi, Kenya
Charges : $1,250 + 16% VAT
 

Participants will learn the principles of epidemiology and biostatistics and gain skills in using epidemiological and biostatistical tools to describe, monitor and investigate the determinants of population health. The statistical background required to conduct research, describe, summarize, develop hypothesis, assess associations, analyze data, interpret and communicate results will be studied comprehensively.

The course targets health care professionals who wish to consolidate their knowledge and skills and increase their understanding of the importance of epidemiology and statistics in public health today. Career pathway with these areas include: public health physicians, epidemiologists, biostatisticians, surveillance officers, monitoring and evaluation coordinators, data managers, research officers, among others.

Data management, analysis and graphics using Stata

Course Details:

Dates : 29th October, 2018 - 3rd November, 2018
Duration : 5 Days (8:30am - 4:30pm)
Venue : Nairobi, Kenya
Charges : $625 + 16% VAT
 

Participants will learn the principles of statistics and gain skills in using statistical tools to describe, study and investigate the various variables in survey data sets using Stata. The statistical background required to conduct research, describe, summarize, develop hypothesis, assess associations, analyze data, interpret and communicate results will be studied comprehensively.

The course targets professionals in research (or research related) organizations / institutions who wish to acquire or increase their computational skills in the Stata software. The course is developed to benefit data managers, research officers, project managers, statisticians, data analysts, students (undergraduate and postgraduate), trainers/facilitators, research organizations, non-governmental organizations, policy makers, among others.

 
Modelling in Mathematical Sciences