Upcoming Courses
NOVEMBER 2017
Whitehorse, Yukon, Canada
Registration and payment at the bottom of this page via Paypal or contact me via email: ashton *at* kdv-decisions.com
Intermediate Graphs and Tables
A 2-day of guided practice to build and fine-tune visual presentations of data results suitable for publication. We also cover strategies of data management and writing functions to read, tidy, and plot data where you anticipate a need to repeatedly generate similar models, tables, and graphics. (Nov 7-8)
Data Dashboards, Apps, and Auto-Reports
A 3-day intermediate/advanced course for those who are already comfortable in R but would now like to learn to write reactive scripts with R Shiny, ReporteRs, and other R packages that facilitate data interactions. (Nov 13-15)
MAY 2018
Barcelona, Spain
Hosted by: Transmitting Science
Registration and payment via course website
Introduction to R
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 a dataset 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 datasets will be available for students that prefer not to bring their own work or who want extra practice at specific skills. (May 21-25)
JANUARY 2019
Barcelona, Spain
Hosted by: Transmitting Science
Registration and payment via course website
Interactive Data Analysis and Visualization with R Shiny
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. (Dates to be determined)
Whitehorse, Yukon, Canada
Registration and payment at the bottom of this page via Paypal or contact me via email: ashton *at* kdv-decisions.com
Intermediate Graphs and Tables
A 2-day of guided practice to build and fine-tune visual presentations of data results suitable for publication. We also cover strategies of data management and writing functions to read, tidy, and plot data where you anticipate a need to repeatedly generate similar models, tables, and graphics. (Nov 7-8)
Data Dashboards, Apps, and Auto-Reports
A 3-day intermediate/advanced course for those who are already comfortable in R but would now like to learn to write reactive scripts with R Shiny, ReporteRs, and other R packages that facilitate data interactions. (Nov 13-15)
MAY 2018
Barcelona, Spain
Hosted by: Transmitting Science
Registration and payment via course website
Introduction to R
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 a dataset 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 datasets will be available for students that prefer not to bring their own work or who want extra practice at specific skills. (May 21-25)
JANUARY 2019
Barcelona, Spain
Hosted by: Transmitting Science
Registration and payment via course website
Interactive Data Analysis and Visualization with R Shiny
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. (Dates to be determined)
