A Data Carpentry Workshop
Rutgers University
Dec 15-16, 2015
9:00 am - 5:00 pm
Instructors:
Leigh Sheneman, Christopher J. Friedline
Helpers:
TBD
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 janet.alder@rutgers.edu for more information.
Social media:Tweets about #datacRU OR #RUiJOBS
Schedule
Day 1: 9AM - 5PM
| Morning: Data organization in spreadsheets and OpenRefine | |
| Getting started with OpenRefine | Chris |
| Working with data | Chris |
| Scripting OpenRefine | 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 |
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 SQL | Leigh |
| Basic queries | Leigh |
| Aggregation | Leigh |
| Joins and aliases | Leigh |
Etherpad: http://pad.software-carpentry.org/2015-12-15-rutgers.
We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.
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.