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A Data Carpentry Workshop

Multimedia University of Kenya (pre-TDWG)

Sept 23-24, 2015

9:00 am - 4:30 pm

Instructors: Deb Paul, Matt Collins

Helpers: Libby Ellwood, Kevin Love

General Information

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 Data organization in spreadsheets and OpenRefine, Introduction to R, Data analysis and visualization in R and SQL for data management. 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.

Where: . Get directions with OpenStreetMap or Google Maps.

Requirements: Participants must bring a laptop with a few specific software packages installed (listed below). They are also required to abide by Data Carpentry's Code of Conduct.

Contact: Please mail dpaul@fsu.edu for more information.


Preliminary Schedule

Day 1

Morning Data organization in spreadsheets and OpenRefine
Afternoon Introduction to R

Day 2

Morning Data analysis and visualization in R
Afternoon SQL for data management

Etherpad: https://datacarpentry.etherpad.mozilla.org/78.
We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.


Lessons:
The lessons used in the sessions are availible on Github
http://idigbio.github.io/2015-09-23-TDWG-spreadsheet-ecology-lesson
http://idigbio.github.io/2015-09-23-TDWG-OpenRefine-ecology
http://idigbio.github.io/2015-09-23-TDWG-R-ecology
http://idigbio.github.io/2015-09-23-TDWG-sql-ecology


Setup

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.

Support

This workshop was funded in part by the Gordon and Betty Moore Foundation's Data-Driven Discovery Initiative through Grant GBMF4563 to Ethan White.