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Foundational programming for data analysis and data science skills workshop interest list
We're glad to hear that you are interested in attending a Carpentry style data skills training workshop. Please share some information with us so we can follow up with the best information. See here to learn more about The Carpentries:
https://carpentries.org/
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Name (First, Last)
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Your answer
Contact Email
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Your answer
Academic Status
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Choose
Undergraduate Student
Graduate Student
Faculty
Research Staff
Administration Staff
What is your departmental affiliation or area of study?
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Your answer
What topics are you looking for training on? Please mark all that apply.
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Data organization in Spreadsheets
Data Cleaning with Open Refine
Data Management with SQL
Data Analysis and Visualization with R
Data Analysis and Visualization with Python
The Unix Shell
Version Control with git
Programming with Python
Plotting and Programming in Python
Programming with R
R for Reproducible Scientific Analysis
Required
Focus areas: We can also offer Carpentry lessons in focused topic areas such as Genomics, Geospatial and Library informatics. Please indicate if you are interested in these topic area specific trainings.
What topics are you looking for training on? (Focus area is Genomics)
Project Organization and management
Introduction to the command line
Data Wrangling and Processing
Introduction to Cloud Computing
What topics are you looking for training on? (Focus area is Geospatial)
Introduction to Geospatial Concepts
Introduction to R for Geospatial Data
Introduction to Geospatial Raster and Vector Data with R
What topics are you looking for training on? (Target Audience are people working in library- and information-related roles )
Working with text data (Regular Expressions)
OpenRefine
Version control with Git
Workshops are typically offered as two full days (with lots of activities and breaks). What meeting pattern/format would work best in general for you?
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Two full days
Four half days in the same week
Four half days spread across multiple weeks
Other:
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