Introduction to Data Analysis and Visualization with R/RStudio

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*Please note this is a 2-day workshop*

Presenter:  Oscar Montoya, M.Sc., Data Analyst, sessional lecturer University of Calgary


Day 1: Tuesday November 26, 2019 (10:30 a.m. - 5:00 p.m.) 

Day 2: Tuesday December 3, 2019 (10:30 a.m. - 5:00 p.m.)


Disclaim: This is not a statistics workshop.

With the advancement of modern sampling technologies and data-gathering devices, data analysis has become more and more challenging not only due to the vast amount of data but also due to the complexity of the analyses required. Traditional statistical and spreadsheet-like software (e.g. SPSS and Excel) are becoming limited and insufficient to satisfy the end users analytical necessities due to factors like computing time and the availability of statistical functions, in addition to often expensive licenses.

R is a programming language and statistical software that is free to use, redistribute and modify (open source) that has been catalogued as the modern ”Lingua Franca” of data analysis, and is supported by a world-wide community of developers and users that make R equally suitable for businesses and academia. R's strengths include data management (dplyr), publication-quality graphics (ggplot2), and automation of report generation (Rmarkdown). R libraries support the analyses of almost any type of data including biological (nucleic acids and ecological diversity indices), Geographical Information Systems, and chemical (gas/liquid chromatography).This workshop will give you strong bases to get you started using R for data manipulation and analysis, saving you time in the generation of advanced graphics and report generation while adding a highly desirable/employable skill to your resume.

For further information, please visit the links below: 


Location:  Room 418, University of Calgary Downtown Campus.  Address: 906 - 8th Avenue SW

Requirements:  Need to bring your own laptop and external battery pack or charger is ideal

Materials:  Digital materials (scripts and datasets) will be provided

Lunch:  Lunch is included and will be served in the class room along with beverages and continental breakfast

CCP:  This course qualifies ASPB members to earn 11 Professional Development Hours

Disclaimer:  The ASPB is not responsible for the content of this presentation; the information and views expressed by the presenter(s) are their own

Cost:  $165 for members and $180 for non-members. Course requires a minimum of 20 individuals to sign-up and cannot exceed 30 participants

For inquiries about the Workshop, contact Karl Bresee (


  • ASPB Member Pricing - $165.00
  • Non-member Pricing - $180.00


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