Dec 15-16, 2015
9:00 am - 5:00 pm
Instructors: Leigh Sheneman, Christopher J. Friedline
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.
Contact: Please mail firstname.lastname@example.org for more information.Social media:
|Morning: Data organization in spreadsheets and OpenRefine|
|Getting started with OpenRefine||Chris|
|Working with data||Chris|
|Saving and Exporting||Chris|
|Working with external services||Chris|
|Afternoon: Introduction to Python|
|Short Introduction to Programming in Python||Leigh|
|Starting with data||Leigh|
|Morning: Data analysis and visualization in Python|
|Starting with data||Chris|
|Indexing and slicing||Chris|
|Data types and format||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 SQL||Leigh|
|Joins and aliases||Leigh|
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.