Workshop Registration Fees (per person/per workshop):
- College and University (enrolled) Students: $30
- Unemployed/Senior Citizens: $30
- University of Manitoba’s Staff: $50
- Non-Profit Organization’s Staff: $75
- Other organization’s Staff: $90
September 2020
Basic and Intermediate Python
This workshop introduces basic and intermediate concepts in Python and provides hands-on experience.
- 1:00 pm—4:00 pm, Friday, Sept 25 2020, via Zoom.
October 2020
Basic and Intermediate R
This workshop introduces basic and intermediate concepts in R and provides hands-on experience. Participants will learn how to program with R interactively, and how to understand data and tell data stories in RStudio.
- 1:00 pm—4:00 pm, Friday, Oct 2 2020, via Zoom.
Advanced Programming in Python with Numpy and Pandas
This workshop is at an advanced level of Python and provides hands-on experience. This workshop focuses on two Python packages: pandas, for data analysis and manipulation; and numpy, for numerical computations with arrays. Prior knowledge of Python is recommended.
- 1:00 pm—4:00 pm, Friday, Oct 23 2020, via Zoom.
Introduction to the Tidyverse in R
Through hands-on experience, this workshop introduces the suite of packages known as the tidyverse. Participants will learn how to use manipulate data and produce quality data visualizations tools. Prior knowledge of R and RStudio is recommended.
- 1:00 pm—4:00 pm, Friday, Oct 30 2020, via Zoom
November 2020
Machine Learning in Python–Part 1
This is the first part of a workshop on machine learning in Python. In this part, participants will learn the basics of the scikit-learn module. Examples will focus on logistic regression and Naive Bayes methods, and introduce the notion of feature selection. Prior knowledge of Python is recommended.
- 1:00 pm—4:00 pm, Friday, Nov 20 2020, via Zoom.
Interactive Visualization Dashboards with R
Description to come.
- 1:00 pm—4:00 pm, Friday, Nov 27 2020, via Zoom.
December 2020
Machine Learning in Python–Part 2
This is the second part of a workshop on machine learning in Python. In this part, participants will focus on data visualization in Python and be introduced to more advanced machine learning methods (e.g. Support Vector Machines and Random Forests). Prior knowledge of Python is recommended.
- 1:00 pm—4:00 pm, Friday, Dec 4 2020, via Zoom.
Spatial Data Science in R
This workshop will introduce participants to spatial data analysis and modeling in R. Through hands-on teaching, they will learn how to plot and analyse geospatial data. Prior knowledge of R and RStudio is recommended.
- 1:00 pm—4:00 pm, Friday, Dec 11 2020, via Zoom.