Find out about new data and analytical methods, emerging research results, and applications to policy and practice…
New to data science or looking to pick up a few new skills? Don’t miss these free webinars, guided practical tutorials and online resources featuring CANUE data.
Developed in partnership with Population Data BC
AN INTRODUCTION TO DATA SCIENCE – WEBINAR AND TUTORIAL SERIES
MODULE 1: Introduction to Machine Learning
January 15 | 11am to noon pacific: Overview webinar
January 17 | 11am to 1pm pacific: Guided practical tutorial
MODULE 2: Regression and Regularization Algorithms
January 29 | 11am to noon pacific: Overview webinar
January 31 | 11am to 1pm pacific: Guided practical tutorial
MODULE 3: Advanced Supervised Learning
February 12 | 11am to noon pacific: Overview webinar
February 14 | 11am to 1pm pacific: Guided practical tutorial
MODULE 4: Advanced Unsupervised Learning
February 26 | 11am to noon pacific: Overview webinar
February 28 | 11am to 1pm pacific: Guided practical tutorial
Dr. Aman Verma is a Data Engineer with a PhD in Epidemiology from McGill University, and an undergraduate degree in Computer Science. He has experience in developing machine learning systems with large databases, particularly for scientific data in healthcare. While he’s comfortable learning any programming language, he’s recently become particularly interested in R. Aman is currently involved in a number of projects, including measuring how following opioid prescription guidelines can decrease the risk of opioid overdose, modelling trajectories of chronic obstructive pulmonary disease, and assessing how to best prioritize ambulance calls using secondary healthcare data.
AN INTRODUCTION TO DATA MANAGEMENT AND CLEANING FOR ANLAYSIS IN ‘R’
This self paced free online course will provide you with an introduction to Data Management and Cleaning for Analysis using R Software. Each of the four modules includes a Power Point slide deck, CANUE training data, R code and associated exercises for practice.
Topics covered include:
- Introduction and theory of data cleaning and management
- Getting started with R software
- Subsetting variables and data cleaning
- Creating variables, subset observations and data cleaning
- Merging, joining and reshaping data
Megan Striha currently works as a Data Analyst. She has a Masters of Public Health degree and three years of experience in health data analysis, including working with survey, administrative and census data.
Marianne co-leads the Transportation group within CANUE. The main objective of the transportation group is to generate traffic volumes on road networks for various Canadian cities. The team is using various approaches including travel demand and network assignment models as well as statistical interpolation techniques.
Marianne Hatzopoulou is Associate Professor in the Department of Civil Engineering at the University of Toronto and Canada Research Chair in Transportation and Air Quality. Her expertise is in modelling road transport emissions and urban air quality, as well as evaluating population exposure to air pollution. Her research aims to capture the interactions between the daily activities and travel patterns of urban dwellers and the generation and dispersion of traffic emissions in urban environments. She has linked various traffic simulation models with tools for microscopic emission estimates and has published in the areas of traffic emission modeling, near-road air pollution, and greenhouse gas emissions from transport. Prof. Hatzopoulou serves on the National Academy of Science Transportation Research Board committees on “Transportation and Air Quality” and “Environmental Analysis in Transportation”.
University of Toronto profile
Congratulations to our student travel award recipients!
The journal Epidemiology recently interviewed study co-author and CANUE member Dan Crouse about exposure to fine particulate matter and diabetes in the Canadian Census Health and Environment Cohort.
Pinault, Lauren, Michael Brauer, Daniel L. Crouse, Scott Weichenthal, Anders Erickson, Aaron van Donkelaar, Randall V. Martin et al. “Diabetes Status and Susceptibility to the Effects of PM2. 5 Exposure on Cardiovascular Mortality in a National Canadian Cohort.” Epidemiology 29, no. 6 (2018): 784-794.
We are hard at work on finalizing six new datasets: check out our latest newsletter for more details.
CANUE member Dr. Michael Jerrett presents at the National Academies of Sciences Engineering and Medicine – Geographical Sciences Committee Meeting, May 2018. Hear Dr. Jerrett’s thoughts on how we deal with individual movements through time and space, what that means for environmental exposures, and how we capture data to characterize exposures for health studies.