Introduction to Data Analysis and Visualization with R/RStudio


This is a 2-day workshop

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

Description:           Disclaimer: 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: 

Dates and times:        Day 1: Tuesday October 9th 2018 8:30 am - 3 pm, Day 2: Monday October 29th 2018 9 am - 4 pm

                                               Please click HERE for detailed schedule.

Locations:            ROOM HSE - S 0527 Lima Conference Room

                                      Plus 50 level, 707-8th Avenue SW (need to check in at security desk and take elevators)

Requirements:  Would be advantageous to bring your own laptop

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

Cost:                         $120 for members and $160 for non-members. Course requires 20 individuals to sign-up.

Lunch:             Lunch is included both days 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 towards their CCP requirements.

 Presenter Biography:

Oscar is a data analyst with a Masters in Environmental Microbiology, with seven years of experience doing what he likes the most in life: Finding patterns and correlations in complex data sets to answer often intricate questions. A biologist by training, Oscar has over four years of data analytics experience programming in R, with skills that include statistical analysis, advanced graphics and report generation. Over the last three years, Oscar has been the sessional lecturer for a graduate-level course on R programing language at the Biological Sciences Department at the University of Calgary, where he is also doing his Ph.D. on microbiologically influenced corrosion of pipelines. Originally from Colombia, he also has experience with the development of habitat exclusion programs of black vultures (Coragyps atratus) in a landfill, and the use of macroinvertebrates as water quality indicators. Oscar obtained his Masters of Science at the University of Calgary working on the microbial degradation of oil pollutants.

Please note: The ASPB reserves the right to cancel this workshop if we do not have sufficient people signed up by 6:00 pm on Monday, October 1. A full refund will be returned.


  • Non-member - $160.00
  • Member - $120.00


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