May 12-13, 2016
9:00 am - 5:00 pm
Instructors: Westa Domanova, Paula Andrea Martinez
This workshop is brought to you by:
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 Introduction to R and R studio, Data exploration and transformation (dplyr), Data analysis and visualization in R (ggplot2) and Version control (git). 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. To register, please visit this registration form.
Who: The course is aimed at graduate students and other researchers in the life sciences. You don't need any programming experience to attend, just a desire to learn!
Contact: Please mail firstname.lastname@example.org for more information.
|Morning||Introduction to R and R studio|
|Afternoon||Data exploration and transformation (dplyr)|
|Morning||Data analysis and visualization in R (ggplot2)|
|Afternoon||Version control (git)|
We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.
To participate in this Data Carpentry workshop, you will need working copies of R and R Studio. Please make sure to install point "3. R" following these setup instructions. Participants should bring and use their own laptops to ensure the proper setup of tools for an efficient workflow once you leave the workshop.
If you have any issues installing, please come at 8:30 am on the first day of the workshop.
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.