R for Absolute Beginners – May 2025

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Description: This 3-day hands-on and in-person workshop, presented by CHI’s Data Science platform, will introduce participants to R by providing instruction and hands-on exercises. Participants will gain understanding of basic workflows in R, including data manipulation, graphics, and programming. We will be emphasizing the tidyverse family of packages in R. No prior experience with R (more…)

 

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R for Data Wrangling – May 2025

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Please note that previous introductory experience with R is required for this workshop. Description: Data wrangling with dplyr and other tools from tidyverse. Everyone has heard that “data analysis is 80% loading, cleaning, reshaping and otherwise preparing your data for analysis”. In this 3-day, hands-on workshop, you will learn more advance techniques that will make your (more…)

 

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Using R for Basic Statistics – June 2025

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Please note that previous introductory experience with R, and experience with basic statistical ideas, is required for this workshop. Description: This 3-day, hands-on and in-person workshop, presented by CHI’s Data Science platform, will show you how to do basic statistical analyses using R. We will be emphasizing intuition over math as we review key statistical (more…)

 

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Python Essentials for Data Science – June 2025

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Description: This 5-day hands-on and in-person workshop, jointly presented by the George & Fay Yee Centre for Healthcare Innovation (CHI) and the Children’s Hospital Research Institute of Manitoba (CHRIM), will introduce participants to Python through a combination of instruction and hands-on exercises. Participants will gain an understanding of Python programming syntax, best practices, data processing (more…)

 

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R for Data Visualization (ggplot2) – June 2025

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Please note that previous introductory experience with R is required for this workshop. Description: In this 3-day hands-on and in person workshop, presented by CHI’s Data Science platform, you will learn how to create customized graphs using R’s ggplot2 library, one of the most popular graphics and visualization programs. Previous introductory experience with R is required (more…)

 

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