STATISTICS SHORT COURSE FROM 24TH NOVEMBER 2025 TO 28TH NOVEMBER 2025 BE HELD IN SUALISA CONFERENCE ROOM AT iAGRI BUILDING - SUA EDWARD MORINGE CAMPUS

Event Summary

Sokoine University of Agriculture Laboratory for Interdisciplinary Statistical Analysis (SUALISA) would like to announce to the SUA community and the general public that it will offer short courses in Statistics to be held at SUALISA. 

Registration for the short course

The registration fee is 150,000/= Tsh per day or 750,000/= per whole course for training, which includes updated and licensed software, free internet access during the course, and a certificate at the end of the course. The amount can be deposited at account number 01J1079598700, Account name BACAS-SUA. 
Contact: Mary Celestine via the following address:
Email: mary.b.celestine@gmail.com
Mobile: 0713-301033
Website: https://sites.google.com/site/sualisa2020

Who should attend? Any scholar/researcher, such as a postgraduate student /instructor/M&E Officers/Project managers/production manager/an entrepreneur/lab technician, etc., is highly encouraged to attend. You are all welcome to attend.
How you will benefit from the course(s): Each course will provide participants with practical skills to be able to effectively implement a real-life related problem needing statistical skills application.

How to reach us: Clients can organize themselves and specify their topics, and invite the SUALISA team to visit them.
Time of learning: These short courses mentioned in a schedule will be provided twice per month, and clients will be given the priority to choose any course at any time or month without considering the yearly timetable.

Other course(s) provided:  Apart from the short course(s) provided below, we provide other statistical short courses like Structural equation modelling, Impact evaluation, Spatial analysis, Quality control, Multivariate analysis, Regression modelling, Linear programming, Survival analysis, Experimental design, Operations research, Panel data analysis, Time series analysis, statistical software including SAS, SPSS, R, STATA, Epi-info, Minitab, NVIVO, Eviews, SmartPLS, GENSTAT, PYTHON, etc.

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