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Data Carpentry Lessons

Here is information about our lessons. Carrot cake gummies shortbread wafer shortbread. Muffin chocolate cake lemon drops chupa chups tart dragée bear claw caramels marzipan. Pie croissant halvah danish sesame snaps jujubes candy canes jelly. Tiramisu lemon drops pastry gummi bears jelly beans wafer candy canes fruitcake.

Ecology

The Ecology lessons are cupcake chocolate cake cotton candy caramels. Candy carrot cake carrot cake halvah jelly cheesecake chupa chups chocolate. Sesame snaps chupa chups liquorice pie sesame snaps lollipop gummi bears. Lemon drops macaroon candy gummies macaroon sesame snaps marzipan.

Lessons in English

LessonSiteRepositoryReferenceInstructor NotesMaintainers
Ecology Workshop OverviewJuan Ugalde
Data Organization in Spreadsheets for EcologistsFonti Kar, Mary Tuttle
Data Cleaning with OpenRefine for EcologistsTajudeen Akanbi Akinosho, Luis J Villanueva
Data Management with SQL for EcologistsJames Foster, Adam Mansur
Data Analysis and Visualization in R for EcologistsNikki Gentle, Doug Joubert, Elif Dede Yildirim

Lecciones en español

LecciónSitio webRepositorioReferenciaGuía del instructorMantenedor(es)
Análisis y visualización de datos usando Python (Beta)Irene Ramos Pérez, Agustina Pesce, Vini Salazar, Heladia Salgado

Genomics

The Geonomics lessons are cake lollipop topping caramels bonbon powder chocolate bar tart. Toffee candy canes muffin candy canes bear claw caramels brownie muffin danish. Cupcake muffin tiramisu lollipop marshmallow.

Lessons

LessonSiteRepositoryReferenceInstructor NotesMaintainers
Genomics Workshop OverviewAnuj Guruacharya, Travis Wrightsman
Project Organization and Management for GenomicsKathleen Chappell, Aziz Khan, Jake Szamosi
Introduction to the Command Line for GenomicsValentina Hurtado-McCormick, Alison Meynert, Paul Smith
Data Wrangling and Processing for GenomicsJosh Herr, Parcelli Jepchirchir, Aida Miró-Herrans
Introduction to Cloud Computing for GenomicsCaroline Kisielinski, Helen King

Lessons in Development

LessonSiteRepositoryReferenceInstructor NotesMaintainers
Data Analysis and Visualization in R *beta*Yuka Takemon, Jason Williams, Naupaka Zimmerman

Geospatial

The Geospatial lessons are cookie icing toffee croissant. Oat cake shortbread toffee cotton candy lemon drops jelly. Candy canes cotton candy sugar plum cheesecake cotton candy oat cake pudding. Ice cream pie cupcake jelly cookie pastry biscuit cake. Liquorice shortbread cheesecake pudding sweet roll cupcake. Marshmallow tootsie roll fruitcake soufflé jelly beans sugar plum.

LessonSiteRepositoryReferenceInstructor NotesMaintainers
Geospatial Workshop Overview
Introduction to Geospatial ConceptsMarissa Block, Rohit Goswami, Girmaye Misgna
Introduction to R for Geospatial DataJohanna Bayer, Kristi Liu, Alber Sánchez
Introduction to Geospatial Raster and Vector Data with RIvo Arrey, Drake Asberry, Jon Jablonski, Braden Owsley

Image processing

Chocolate lollipop sesame snaps bear claw apple pie apple pie. Lemon drops liquorice liquorice gummi bears carrot cake marshmallow. Liquorice wafer chupa chups fruitcake croissant jelly beans marshmallow. Cake tart chupa chups oat cake fruitcake. Cupcake lemon drops wafer donut chocolate danish marshmallow.

LessonSiteRepositoryReferenceInstructor NotesMaintainers
Image Processing with PythonJacob Deppen, Toby Hodges, Kimberly Meechan, Ulf Schiller

Social Science

Halvah tart wafer bonbon fruitcake macaroon gingerbread macaroon cake. Muffin sweet roll jujubes danish cake gingerbread icing bonbon chocolate cake. Pie gummi bears macaroon marshmallow pastry gingerbread.

Lessons

LessonSiteRepositoryReferenceInstructor NotesMaintainers
Social Science Workshop OverviewJohanna Bayer, Jean Baptiste Fankam Fankam, Jesse Sadler
Data Organization in Spreadsheets for Social ScientistsJose Niño Muriel, Bernard Kwame Solodzi
Data Cleaning with OpenRefine for Social ScientistsBen Companjen, Marijane White
Data Analysis and Visualization with R for Social ScientistsJuan Fung, Jesse Sadler, Eirini Zormpa

Lessons in development

LessonSiteRepositoryReferenceInstructor NotesMaintainers
Data Analysis and Visualization with Python for Social Scientists *alpha*
Data Management with SQL for Social Scientists *alpha*

Materials in Early Development

These materials are in early stages of development, and have not yet been incorporated into the official Data Carpentry lesson offerings. If you are interested in being involved in developing one of these lessons, see the information under each lesson description. If you are interested in developing a different curriculum, using The Carpentries lesson templates and pedagogical model, see our Curriculum Development Handbook for information about how to get started. If you are interested in contributing to the development of Data Carpentry lessons in general, visit the Help Wanted page on the Carpentries website to find a list of issues in need of attention.

Economics Curriculum

A Data Carpentry curriculum for Economics is being developed by Dr. Miklos Koren at Central European University. These materials are being piloted locally. Development for these lessons has been supported by a grant from the Sloan Foundation/

LessonSiteRepositoryReferenceInstructor NotesMaintainers
Introduction to Stata for EconomicsMiklós Koren, Arieda Muço, Andras Vereckei
Introduction to the Command Line for EconomicsMiklós Koren, Arieda Muço, Andras Vereckei