Sokoine University of Agriculture Laboratory for Interdisciplinary Statistical Analysis (SUALISA) would like to announce to the SUA community and to the general public that it will offer short courses in statistics to be held at SUALISA conference room  from 2nd   March up to 6th March 2020.

At the same time SUALISA wishes to announce the departure of statisticans from MZUMBE university  who have been here since October 2019 and the coming of new statisticians (volunteers from UDOM and UDSM). Our offices will be opened from 8am up to 2pm. You are all welcomed!

Registration for the short course

The registration fee is 30,000/=Tshs, per a day/course. Registration would be made upon your arrival in a venue at iAGRI building. Contact   Maria Celestine via the following address to confirm your participation. 
Email:   mary.b.celestine@gmail.com
Mobile: 0713-301033

Who should attend?

Any scholar/researcher such as a  postgraduate student /instructor/project manager/quality controller/evaluator /M&E officer  e.t.c  is highly encouraged to attend. You are all welcomed 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.

Venue: The venue for all of these courses would be in iAGRI building

Absract

Data analysis can rarely be done without a statistical software. This time around one of the very powerful and most famous software for Statistical Analysis (SAS) will be taught right from the beginning up to data analysis level. Different types of data analysis methods will be covered. 

Alongside SAS, electronic methods of data collection shall be introduced. Apparently surveyers are moving from  using questtionare as a tool for data collection to the use of electronic devices which after capturing  the data they immediately  process  them  ready for data analysis. A surveyer  need not carriy a bulk of questtionares to the field and need not enter the data after coming from the field. Further to this your data are always safe at any time even in the scenario when you loose the devices or any other document. You could also make prelimnaly analysis of data in the course of the survey and this could help you  improving your survey.Let us learn about these methods!
You are warmly welcomed !