Time Series Data Analysis and Modelling using Stata Course
The course will show how economic and financial time series can be modeled and analyzed. The aim is to provide understanding and insight into the methods used, as well as explaining the technical details. Statistical modeling will be demonstrated using the Stata Software and participants will be given the opportunity to use Stata in class. Statistical modeling will be demonstrated using Stata Software.
Nairobi, Kenya 10-02-2020 14-02-2020 Apply now
Nairobi, Kenya 16-11-2020 20-11-2020 Apply now
Kigali, Rwanda13-07-2020 17-07-2020 Apply now
Kigali, Rwanda 26-10-2020 30-10-2020 Apply now
This course provides an introduction to statistics for those with little or no prior exposure to basic probability and statistics. Once you have completed this course you will be able to apply statistically valid designs to basic studies, and test hypotheses regarding proportions and means.
Nairobi, Kenya 10-02-2020 21-02-2020 Apply now
Nairobi, Kenya 18-05-2020 28-05-2020 Apply now
Nairobi, Kenya 07-09-2020 18-09-2020 Apply now
Nairobi, Kenya 07-12-2020 18-12-2020 Apply now
Kigali, Rwanda 10-02-2020 21-02-2020 Apply now
Kigali, Rwanda 04-05-2020 15-05-2020 Apply now
Kigali, Rwanda 17-08-2020 28-08-2020 Apply now
Kigali, Rwanda 23-11-2020 04-12-2020 Apply now
Epidemiology and Bio-statistics with Stata
This course is intended for medical researchers who would like to enhance their skills on epidemiological data analysis being familiarized with Stata. The participants will have their hands on laptop with Stata running throughout the learning sessions. Each learning session will give equal weight to tutorials and practical exercises.
Nairobi, Kenya10-02-2020 21-02-2020 Apply now
Kigali, Rwanda 27-01-2020 07-02-2020 Register
Kigali, Rwanda 27-04-2020 08-05-2020 Register
Kigali, Rwanda 20-07-2020 31-07-2020 Register
Kigali, Rwanda 02-11-2020 13-11-2020 Register
Do you have a large team or department you would like to upskill?
Our learning advisory team will assist in tailor-making your learning pathway and monitor the progress of the team as well as provide you with regular feedback. Learn more
For any enquiries, feel free to engage us at [email protected] or contact us on (+254) 715 077 817 or +250 789 621 067
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