African Maths Initiative

Sharing Initiatives in Maths Education

eSMS - Statistics Made Simple

Course Dates

Upcoming course dates:

  • 4 May 2016 - 7 June 2016
  • 7 September 2016 - 11 October 2016

Overview

This is a 5-week fully online facilitated course designed to provide professionals in employment and research students who require a foundation course in statistics for basic data handling and statistical analysis, and would like to study online. The course is adapted to various statistical packages some of which are available at no cost. The course is appropriate for research personnel, research students, business managers, project managers, accountants, lecturers, teachers and anyone for whom an online basic foundation course in statistics would be appropriate.

For more information about statistical packages used in this course, and how to obtain them, please use the contact details at the bottom of this page.

The course is developed and owned by the Statistical Services Centre (SSC), University of Reading. AMI is partnering with the SSC to manage applications from Kenya and East Africa in general.

Expected Learning Outcomes

At the end of the course, you will:

  • Understand variability
  • Be able to describe data well
  • Be able to make good generalisations
  • Understand the concepts and role of significance testing, including p-values.
  • Have established the groundwork for statistical modelling.

How to apply

Interested participants are requested to fill in the online application form. Further information about e-SMS can be found at www.statistics-training.org.

How to pay

The fee for e-SMS is Khs 13,500 if paid by MPESA Paybill or directly deposited to the African Maths Initiative Kenyan Equity Bank Account.

If payment is by credit/debit card, the fees is 99 GBP.

This fee covers all course costs, and participants don’t have to travel away from home! For bulk bookings please contact us. We do not offer an academic discount for this course.

Contact Details

For enquiries or more information contact James Musyoka: jkmusyoka@maseno.ac.ke, +254 724204293






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