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A Data Carpentry Workshop

Rutgers University

Dec 15-16, 2015

9:00 am - 5:00 pm

Instructors: Leigh Sheneman, Christopher J. Friedline

Helpers: TBD

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 Python, Data analysis and visualization in Python 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: New Brunswick, New Jersey. 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 for more information.

Social media:
  • Data Carpentry @datacarpentry
  • Chris @noituloveand chris [at] friedline [dot] net website
  • Leigh @ag_shen
  • Twitter hashtags: #datacRU #RUiJOBS


    Day 1: 9AM - 5PM

    Morning: Data organization in spreadsheets and OpenRefine
    Getting started with OpenRefineChris
    Working with dataChris
    Scripting OpenRefineChris
    Saving and ExportingChris
    Working with external servicesChris
    Afternoon: Introduction to Python
    Short Introduction to Programming in PythonLeigh
    Starting with data Leigh

    Day 2: 9AM - 5PM

    Morning: Data analysis and visualization in Python
    Starting with data Chris
    Indexing and slicing Chris
    Data types and format Chris
    Merging data Chris
    Loops and functions Chris
    Plotting data with matplotlib Chris
    Putting it all together Chris
    Working with SQL Chris
    I was asked yesterday about Pandas and time series. Chris Albon has a ton of nice, well-commented code examples, including a Time Series Basics IPython notebook.
    Afternoon: SQL for data management
    Databases using SQLLeigh
    Basic queriesLeigh
    Joins and aliasesLeigh

    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.

    Post-workshop survey

    Please fill out this survey before you leave today. Thanks for being a great group!