Students learn best when working with your own data, so we design custom course materials that
teach skills and move your projects forward.
teach skills and move your projects forward.
Upcoming Courses
Barcelona, Spain [ONLINE during COVID]
Introduction to R
Hosted by: Transmitting Science
Registration and payment via course website
This 5-day course is for ecologists, biologists, and other natural scientists who have never used R and, possibly, have never done any programming at all. By the end of the course, the participants should be able to import / export data-bases, manage data sets, carry out basic statistic analyses, draw high quality graphs, and program functions. Students are encouraged to bring data with them along with a “previously completed” statistical analysis or graphic. Ideally something fairly introductory and simple from the student’s own field of practice that you’ve worked with in Excel, SAS, or elsewhere. Students will work with these data on the last day to ensure they can load, check, tidy data and then perform the basic statistics or generate the graphs common in their respective disciplines. This time also usually provides opportunity to troubleshoot and learn to navigate web resources to find solutions to errors. Extra data will be available for students that prefer not to bring their own work or who want extra practice at specific skills. (March 22-26, 2021, online)
R Shiny Web App Development
Hosted by: Transmitting Science
Registration and payment via course website
This 5-day course is for individuals considering developing Shiny apps to deliver their research. Thus, the goal will be to teach the skills necessary to translate static products (your current analysis in R) to dynamic products delivered via a simple web-based graphic-user interface. After a brief survey of the available basic tools (widgets such as slider bars, check boxes, and pick lists), we will move quickly to learn more advanced interactive features. Activities interspersed throughout the class will provide hands-on practice with sample biological and ecological data. By the end of the course, students will have built a portfolio of example code and will have designed, constructed, and published at least one example Shiny app. (June 14-18, 2021, online)
Data Manipulation, Analysis, and Visualization in R using the Tidyverse
Hosted by: Transmitting Science
This 5-day course exposes students to the breadth of resources available in the R tidyverse to build their fluency and confidence when working in R. The tidyverse is a collection of libraries and functions in R sharing an underlying design (philosophy, grammar, and data structures) that aims to help users create efficient, “tidy” code. Many of the libraries address the common data wrangling tasks (read, select, filter, gather, spread, modify, recode, summarize) that are the precursors to both data analysis and visualization. Other libraries address specific tasks (e.g., ggplot2 to create graphs; purrr to create functions; broom to tabulate model results) or specific data types (e.g., sf for spatial data, tibbletime for temporal data). A mix of lectures and exercises will walk students through a series of increasingly complex data manipulation and visualization tasks. These exercises will emphasize the underlying principles and grammar of the tidyverse to help students transfer what they learn in the examples to their own research coding projects. (TBD, 2021, online).
Yukon, Canada
When home in Yukon, Dr. Drew typically offer several short workshops either at (co)space or by request at client sites. In addition to the themes outlined above, she has also taught courses focused on R Markdown, Spatial Data in R, and Time Series Data in R. If you would like to receive an email when she next schedules Yukon courses or if you have a special request for a course, use the contact form. (July/Aug 2021; tutoring and private workshops by request)
Custom Workshops
KDV has developed and taught special topic R workshops for several clients including United State Fish and Wildlife Service, United States Forest Service, Department of Fisheries and Oceans Canada, Parks Canada, and Environment Yukon. If you are interested in this service, please use the contact form.
Introduction to R
Hosted by: Transmitting Science
Registration and payment via course website
This 5-day course is for ecologists, biologists, and other natural scientists who have never used R and, possibly, have never done any programming at all. By the end of the course, the participants should be able to import / export data-bases, manage data sets, carry out basic statistic analyses, draw high quality graphs, and program functions. Students are encouraged to bring data with them along with a “previously completed” statistical analysis or graphic. Ideally something fairly introductory and simple from the student’s own field of practice that you’ve worked with in Excel, SAS, or elsewhere. Students will work with these data on the last day to ensure they can load, check, tidy data and then perform the basic statistics or generate the graphs common in their respective disciplines. This time also usually provides opportunity to troubleshoot and learn to navigate web resources to find solutions to errors. Extra data will be available for students that prefer not to bring their own work or who want extra practice at specific skills. (March 22-26, 2021, online)
R Shiny Web App Development
Hosted by: Transmitting Science
Registration and payment via course website
This 5-day course is for individuals considering developing Shiny apps to deliver their research. Thus, the goal will be to teach the skills necessary to translate static products (your current analysis in R) to dynamic products delivered via a simple web-based graphic-user interface. After a brief survey of the available basic tools (widgets such as slider bars, check boxes, and pick lists), we will move quickly to learn more advanced interactive features. Activities interspersed throughout the class will provide hands-on practice with sample biological and ecological data. By the end of the course, students will have built a portfolio of example code and will have designed, constructed, and published at least one example Shiny app. (June 14-18, 2021, online)
Data Manipulation, Analysis, and Visualization in R using the Tidyverse
Hosted by: Transmitting Science
This 5-day course exposes students to the breadth of resources available in the R tidyverse to build their fluency and confidence when working in R. The tidyverse is a collection of libraries and functions in R sharing an underlying design (philosophy, grammar, and data structures) that aims to help users create efficient, “tidy” code. Many of the libraries address the common data wrangling tasks (read, select, filter, gather, spread, modify, recode, summarize) that are the precursors to both data analysis and visualization. Other libraries address specific tasks (e.g., ggplot2 to create graphs; purrr to create functions; broom to tabulate model results) or specific data types (e.g., sf for spatial data, tibbletime for temporal data). A mix of lectures and exercises will walk students through a series of increasingly complex data manipulation and visualization tasks. These exercises will emphasize the underlying principles and grammar of the tidyverse to help students transfer what they learn in the examples to their own research coding projects. (TBD, 2021, online).
Yukon, Canada
When home in Yukon, Dr. Drew typically offer several short workshops either at (co)space or by request at client sites. In addition to the themes outlined above, she has also taught courses focused on R Markdown, Spatial Data in R, and Time Series Data in R. If you would like to receive an email when she next schedules Yukon courses or if you have a special request for a course, use the contact form. (July/Aug 2021; tutoring and private workshops by request)
Custom Workshops
KDV has developed and taught special topic R workshops for several clients including United State Fish and Wildlife Service, United States Forest Service, Department of Fisheries and Oceans Canada, Parks Canada, and Environment Yukon. If you are interested in this service, please use the contact form.