Welcome to DASH: The Data Analysis Support Hub Webinars
DASH workshops help registrants with data analysis and visualization by providing training for software programs and coding languages including Excel, LaTeX, Python, R, and SPSS.
DASH workshops welcome students, staff, and faculty from any discipline, as well as the public at large. A number of DASH workshops are also geared towards beginners, so even if you’re new to data analysis, we encourage you to sign up and learn!
2023-2024 DASH Workshop Topics
- Data Visualization in R using ggplot2
- Document Typesetting and Scientific Publishing with LaTeX
- Hypothesis Test, Univariate, and Bivariate Analysis with R
- Intermediate Python Programming
- Introduction to Python
- Introduction to R Programming
- Introduction to Statistical Analysis with SPSS
- Machine Learning with Python: Image Classification
- Machine Learning with R: K-Means Clustering
- Machine Learning with R: Linear Regression
- Machine Learning with R: Logistic Regression
- Machine Learning with R: Random Forest Classification Approach
- Making and Sharing Maps with ArcGIS Pro
- Map-Making for Absolute Beginners using QGIS
- Multivariable Analysis with R
- Survival Analysis with R
- Web Scraping with Python's Beautiful Soup
Land Acknowledgment
McMaster University is situated in Ohròn:wakon which is the traditional territories of the Erie, Neutral, Huron-Wendat, Haudenosaunee and Mississaugas. This land is covered by the “Dish With One Spoon Wampum Belt Covenant”, an agreement between the Haudenosaunee confederacy and Anishinaabe nations to ensure those who live here take only what they need, leave enough in the dish for others, and keep the dish clean. This land is also covered by the Between the Lakes Treaty of 1792 and is very close to the 1784 Haldimand Treaty, which holds the land six miles to each side of the Grand River as a tract for Six Nations, which is currently not being honored.
Many of us at the Sherman Centre took the First Nations’ Information Governance Centre’s OCAP course this past year which stands for Ownership, Control, Access, and Possession. We encourage you to learn more about OCAP and Indigenous data management practices more broadly, including the OCAS principles endorsed by the Manitoba Métis Federation, the principles of Inuit Qaujimajatuqangit, ᐃᓄᐃᑦ ᑕᐱᕇᑦ ᑲᓇᑕᒥ (Inuit Tapiriit Kanatami) National Inuit Strategy on Research, and Global Indigenous Data Alliance’s CARE principles.