FREE STATISTICS SHORT COURSES AT COLLEGE OF ECONOMICS AND BUSINESS STUDIES (CoEBS)

Date: September 11, 2023 to September 22, 2023

Venue: CoEBS Conference Room, Sokoine University of Agriculture – Edward Moringe Campus

Registration and participation is FREE

College of Economics and Business Studies (CoEBS) through BSU III program is inviting postgraduate students and academic members of staff to apply for short courses in i) qualitative data analysis using NVIVO and ii) quantitative data analysis using R-Software. The course is designed to provide you with valuable insights and practical expertise in these dynamic fields. The courses will be held at the CoEBS conference room between 8am and 3:30pm each day from 11th to 15th September (Qualitative data analysis) and 18th to 22nd September 2023(Quantitative data analysis). 

How to apply: Interested participants are requested to submit their intention to participate along with a brief statement explaining the necessity and need of this short course to:

Email: chrlsmgeni099@sua.ac.tz cc: emushi45@yahoo.com 

Please indicate whether you want to attend one or both courses.

Who should attend? Any scholar/researcher such as a postgraduate student /instructor etc. is highly encouraged to attend. 

How will you benefit from the course(s): Each course will empower participants with a versatile skill set, enabling them to proficiently navigate and analyze a wide range of data types to uncover deeper insights, make informed decisions, and contribute effectively in research and problem-solving endeavors.

Securing your slot: The slots are few, only 20 participants are accepted per course. The slots will be allocated on a first-come first-served basis.

TIMETABLE

 

Date Time Session Trainer
11/09/2023 Monday
  8am -10am Introduction to qualitative research Dr. Nandonde/Felicity Ford
10am – 10:30am Tea break
10:30am- 12:30pm Introduction to qualitative research
12:30pm – 1:30pm Lunch Break
1:30pm – 3:30pm Introduction to qualitative research Preliminaries of Qualitative data analysis
12/09/2023 Tuesday
  8am -10am Introduction to NVIVO Dr. Nandonde/Felicity Ford
10am – 10:30am Tea break
10:30am- 12:30pm NVIVO Projects, Nodes in NVIVO
12:30pm – 1:30pm Lunch Break
1:30pm – 3:30pm Classfication and coding 
13/09/2023 Wednesday
  8am -10am Thematic analysis using NVIVIO Dr. Nandonde/Felicity Ford
10am – 10:30am Tea break
10:30am- 12:30pm Memos annotations and links
12:30pm – 1:30pm Lunch Break
1:30pm – 3:30pm Building on the analysis
14/09/2023 Thursday 
  8am -10am Qualitative analysis results, Interpretation Dr. Nandonde/Felicity Ford
10am – 10:30am Tea break
10:30am- 12:30pm Visualizing NVIVO projects
12:30pm – 1:30pm Lunch Break
1:30pm – 3:30pm Triangulation of data sources
15/09/2023 Friday
  8am -10am Qualitative report writing Dr. Nandonde/Felicity Ford
10am – 10:30am Tea break
10:30am- 12:30pm Qualitative report writing
12:30pm – 1:30pm Lunch Break
1:30pm – 3:30pm Qualitative report writing
16&17/09/2023 Week end – NO activity
18/09/2023 Monday    
  8am -10am Introduction to R Dr.Mgeni / Emanuel Msemo
10am – 10:30am Tea break
10:30am- 12:30pm Introduction to R
12:30pm – 1:30pm Lunch Break
1:30pm – 3:30pm Introduction to R 
19/09/2023 Tuesday    
  8am -10am Data wrangling and cleaning in R Dr.Mgeni / Emanuel Msemo
10am – 10:30am Tea break
10:30am- 12:30pm Explanatory data analysis in R
12:30pm – 1:30pm Lunch Break
1:30pm – 3:30pm Exploratory data analysis in R
20/09/2023 Wednesday    
  8am -10am Mean comparisons test in R Dr.Mgeni / Emanuel Msemo
10am – 10:30am Tea break
10:30am- 12:30pm Test of association in R
12:30pm – 1:30pm Lunch Break
1:30pm – 3:30pm Practical session
21/09/2023 Thursday    
  8am -10am Predictive regression models using R Dr.Mgeni / Emanuel Msemo
10am – 10:30am Tea break
10:30am- 12:30pm Predictive regression models using R
12:30pm – 1:30pm Lunch Break
1:30pm – 3:30pm Practical session
22/09/2023 Friday    
  8am -10am  Practical session Dr.Mgeni / Emanuel Msemo
10am – 10:30am Tea break
10:30am- 12:30pm  Practical session/Collaborations
12:30pm – 1:30pm Lunch Break
1:30pm – 3:30pm  Collaborations

 

 

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