Online
June 22-July 2, 2020
1:00 - 2:30 pm Pacific
Instructors: Sue McClatchy, Chandra Sarkar, Rohit Goswami, Sayane Shome, Luca Di Stasio
Helpers: TBD
Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".
Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.
When: June 22-July 2, 2020. Add to your Google Calendar.
Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).
Accessibility: We are dedicated to providing a positive and accessible learning environment for all. Please notify the instructors in advance of the workshop if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.
Contact: Please email smcclatchy1@gmail.com , azamudio@biotechpartners.org or sdoughty@biotechpartners.org for more information.
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct.
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
Please be sure to complete these surveys before and after the workshop.
| 1:00 | Workshop Overview and Introductions |
| 1:15 | Introduction to Data Organization in Spreadsheets |
| 1:30 | Formatting data tables in Spreadsheets |
| 2:05 | Formatting problems |
| 2:30 | END |
| 1:00 | Dates as data |
| 1:20 | Quality control |
| 1:40 | Exporting data |
| 1:50 | Introduction to OpenRefine |
| 2:00 | Working with OpenRefine |
| 2:30 | END |
| 1:00 | Before we start Python |
| 1:30 | Short Introduction to Programming in Python |
| 2:00 | Starting With Data |
| 2:30 | END |
| 1:00 | Starting With Data (continued) |
| 1:30 | Indexing, Slicing and Subsetting DataFrames in Python |
| 2:30 | END |
| 1:00 | Data Types and Formats |
| 1:45 | Combining DataFrames with Pandas |
| 2:30 | END |
| 1:00 | Data Workflows and Automation |
| 2:30 | END |
| 1:00 | Making Plots With plotnine |
| 2:30 | END |
| 1:00 | Data Ingest and Visualization - Matplotlib and Pandas |
| 2:30 | END |
To participate in a Data Carpentry workshop, you will need access to the software described below. In addition, you will need an up-to-date web browser.
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.
The setup instructions for the Data Carpentry Ecology workshops (with Python) can be found at the workshop overview site.