Ethiopian Research and Education Network
Aug 14-16, 2017
Aug 14: 13:00 – 17:00, Aug 15 & 16: 09:00 – 17:00
Instructors: Anelda van der Walt, Lactatia Motsuku, Glenn Moncrieff
Data Carpentry workshops are for any researcher who has data they want to analyze, and no prior computational experience is required. This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data.
We will cover Software installation, Data organization in spreadsheets, Data cleaning with OpenRefine, Introduction to R, Data Analysis and Visualisation in R and Developing post-workshop learning communities. Participants should bring their laptops and plan to participate actively. By the end of the workshop learners should be able to more effectively manage and analyze data and be able to apply the tools and approaches directly to their ongoing research.
Who: The course is aimed at graduate students and other researchers from any research field including but not limited to health, life, natural, and social sciences, and engineering. Please note that no prior computing or programming experience is required. The course is aimed at developing foundational competencies in data handling through the tools whcich will be taught.
Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating sytem (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below). They are also required to abide by Data Carpentry’s Code of Conduct.
Contact: Please mail email@example.com for more information.
Participation: Participants will be selected and invited by the Ministry of Education, Ethiopia.
Please be sure to complete these surveys before and after the workshop.
Day 1 – Monday 14 August
Day 2 – Tuesday 15 August
Day 3 – Wednesday 16 August
|14:00||Installations/Ice Breaker/Introductions||09:00||Data Cleaning with OpenRefine||09:00||Data visualisation in R|
|15:00||Data formatting in Spreadsheets||10:40||Break||10:40||Break|
|16:30||Wrap-up||11:00||Introduction to R||11:00||Data visualisation in R|
|13:15||Data analysis in R||13:15||Applied Examples with R|
|15:00||Data analysis in R||15:00||Developing communities of practice – study groups|
|16:30||Wrap up||16:30||Wrap up|
We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.
To participate in a Data Carpentry workshop, you will need working copies of the described software. Please make sure to install everything (or at least to download the installers) before the start of your workshop. Participants should bring and use their own laptops to insure the proper setup of tools for an efficient workflow once you leave the workshop.
Please follow these Setup Instructions.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.