STATISTICS SHORT COURSES FROM 2nd MARCH UP 6th MARCH 2020 TO BE HELD IN SUALISA CONFERENCE ROOM AT iAGRI BUILDING-SUA MAIN CAMPUS

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 !
 

Date

Time

Session

Trainer

02/03/2020

9am to 10am

Installation of SAS

(FREE OF CHARGE)

Dr.Benedict kazuzuru

&

Googluck Z. Mtae

 

10am to 12pm

Introduction to SAS

Dr.Benedict kazuzuru

&

Googluck Z. Mtae

 

12pm  to  1pm

Lunch Break

All

 

1pm    to  3pm

Managing Data in SAS

Dr.Benedict kazuzuru

&

Googluck Z. Mtae

 

3pm    to  4pm

Exercise

 

03/03/2020

9am to 12pm

Basic SAS Procedures and analysis

Dr.Benedict kazuzuru

&

Googluck Z. Mtae

 

12pm to 1pm

Lunch Break

All

 

1pm   to 3 pm

  1. Introduction to Categorical data Analysis using SAS
  2. Logistic regression models with SAS
  3. Model bulding and applying logistic regression models

Dr.Benedict kazuzuru

&

Googluck Z. Mtae

 

3pm    to  4pm

Exercise

 

04/03/2020

9am to 12pm

  1. Introduction to multivariate analysis
  2. Multivariate hypothesis testing with SAS
  3. Multivariate analysis of variance(MANOVA) with SAS

Dr.Benedict kazuzuru

&

Googluck Z. Mtae

 

 

12pm to 1pm

Lunch Break

All

 

1pm to 3pm

  1. Principal components analysis with SAS
  2. Factor analysis with SAS

Dr.Benedict kazuzuru

&

Googluck Z. Mtae

 

3pm  to 4pm

Exersize

 

05/03/2020

9an-12 pm

  1. Intro to design and analysis of experiments
  2. Complete block design with SAS
  3. Randomized completely block design with SAS
  4. Generalized randomized complete block design with SAS

Goodluck Z mtae

&

Japhet Mwanzige

 

12pm -1pm

Lunch Break

All

 

1pm- 3pm

  1. Latin square design
  2. Graeco latin square design
  3. Balanced incomplete block design
  4. Factorial design with SAS

Goodluck Z mtae

&

Japhet Mwanzige

 

3pm  to 4pm

Exersize

 

06/03/2020

9am-12am

Introduction to Data collection tool(ODK)

Othuman jumbe

&

Felicit Ford

 

12pm-1pm

Lunch Break

All                     

 

1pm- 3pm

Introduction to Data collection tool(KOBOL)

Othuman jumbe

&

Felicit Ford

 

3pm  to 4pm

Exersize

 

 

Like & Share this page