Our Dream Big campaign runs until 7 December - click here to donate! TRAINING RESOURCES FOR PROFESSIONALS We currently offer training courses in English and French for our in-country partners such as teachers and nurses. This ensures our work is sustainable and supports broader development, enabling systems and processes to be dynamic and responsive, and to deliver results. TRAINING COURSES Data cleaning and analysis in Excel This course is used for impact and mapping data. This helps the SCI with geographic evaluation of the proportion of people infected and to measure how well treatment programmes are performing to reduce levels of infection. We’ve run this course for Ethiopia, Uganda, Tanzania, Niger and Burundi, so far. Download our training materials: French Part I Part II Part III English Part I Part II QGIS Basics QGIS, an open source geographic information system can be used to produce disease prevalence maps. Prevalence maps assist programmes to visualise the proportion of people infected in a certain geographical region. This course has been run in Uganda and Niger, so far.` The latest version of the course is currently being updated. Please check back again later. Excel for Beginners This half-course is used prior to the Data cleaning and analysis course if necessary and is currently only taught in English. Download the course in English. SIGN UP TO OUR MAILING LIST Follow us: Contact us Jobs Join our mailing list Safeguarding Privacy Policy Media Centre SCI Foundation is recommended by: SCI Foundation is a charity registered in England & Wales SCI Foundation, Edinburgh House, 170 Kennington Lane, London, SE11 5DP | Registered company number 11775313 | Registered charity number 1182166 © SCI Foundation 2021 We’ve placed functionality cookies on your device to help our website run effectively. By clicking OK, you agree to our use of cookies. See our Privacy Policy for full info and how to disable these cookies through your browser settings. If you don’t click OK, we’ll restrict the use of analytics cookies. OK