Upcoming Courses
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)
NOVEMBER 2018
Barcelona, Spain
Hosted by: Transmitting Science
Registration and payment via course website
Building Better Graphs with R
This 5-day course trains students to create publication-quality graphics in R. The course emphasizes the relationships between data structure and graphical elements so student can apply what they learn to R package extensions not covered in the course. A mix of lectures and in-class exercises provide a thorough overview of two primary graphics packages in R: base and ggplot2. In addition to plot customization basics (e.g., colors, symbols), students learn more advanced data visualization techniques (e.g., multiple axes, insets, transformations). The final day of the course is dedicated to guided practice; students may work with their own data or chose from our set of example projects. (Nov 5-9)
JANUARY 2019
Whitehorse, Yukon, Canada
If interested in these courses or a custom class, send me an email: ashton.drew *at* kdv-decisions.com
Introduction to R and R Studio
A 2-day introduction to working with your data in R. The course is suitable for individuals who have never coded in any language or those wishing to pick up a new programming language. You will learn to read, inspect, manipulate, analyze, visualize, and save your data products. Emphasis is placed on preparing you to become self-sufficient using the learning resources available to help you understand R scripts and continue to build your skills. (TBD)
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. (TBD)
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 and other R packages that facilitate data interactions. (TBD)
MARCH 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. (TBD)
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)
NOVEMBER 2018
Barcelona, Spain
Hosted by: Transmitting Science
Registration and payment via course website
Building Better Graphs with R
This 5-day course trains students to create publication-quality graphics in R. The course emphasizes the relationships between data structure and graphical elements so student can apply what they learn to R package extensions not covered in the course. A mix of lectures and in-class exercises provide a thorough overview of two primary graphics packages in R: base and ggplot2. In addition to plot customization basics (e.g., colors, symbols), students learn more advanced data visualization techniques (e.g., multiple axes, insets, transformations). The final day of the course is dedicated to guided practice; students may work with their own data or chose from our set of example projects. (Nov 5-9)
JANUARY 2019
Whitehorse, Yukon, Canada
If interested in these courses or a custom class, send me an email: ashton.drew *at* kdv-decisions.com
Introduction to R and R Studio
A 2-day introduction to working with your data in R. The course is suitable for individuals who have never coded in any language or those wishing to pick up a new programming language. You will learn to read, inspect, manipulate, analyze, visualize, and save your data products. Emphasis is placed on preparing you to become self-sufficient using the learning resources available to help you understand R scripts and continue to build your skills. (TBD)
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. (TBD)
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 and other R packages that facilitate data interactions. (TBD)
MARCH 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. (TBD)