June 20-21, 2017
8:30am - 4:00pm
Instructors: Daniel Smith, Kari Jordan
Helpers: Brandeis Marshall
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, Introduction to Python, Data refinement with OpenRefine and Data visualization in Python. 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 research faculty.
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. If you do have a laptop a computer will be provided for you.
Contact: Please mail email@example.com for more information.
Please be sure to complete these surveys before and after the workshop.
|Morning||Data organization in spreadsheets|
|Afternoon||Introduction to Python|
|Morning||Data refinement with OpenRefine|
|Afternoon||Data visualization in Python|
We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.
If you are bringing a personal laptop please follow the instructions below. A computer with the requisite software will be provided for you if you do not elect to bring a personal computer. 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 for Speadsheets and OpenRefine: Setup Instructions.
You will also need Python:
Python is a popular language for research computing, and great for general-purpose programming as well. Installing all of its research packages individually can be a bit difficult, so we recommend Anaconda, an all-in-one installer.
Regardless of how you choose to install it, please make sure you install Python version 3.x (e.g., 3.4 is fine).
We will teach Python using the IPython notebook, a programming environment that runs in a web browser. For this to work you will need a reasonably up-to-date browser. The current versions of the Chrome, Safari and Firefox browsers are all supported (some older browsers, including Internet Explorer version 9 and below, are not).
bash Anaconda3-and then press tab. The name of the file you just downloaded should appear. If it does not, navigate to the folder where you downloaded the file, for example with:
cd DownloadsThen, try again.
yesand press enter to approve the license. Press enter to approve the default location for the files. Type
yesand press enter to prepend Anaconda to your
PATH(this makes the Anaconda distribution the default Python).
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.