UofT Coders

Data Carpentry - Data Analysis and Visualization with Python - Part 4a

Data Visualization in R with ggplot2

R: ggplot2 and Data Visualization

Intro to PyTorch

Intro to Python

Statistics in R

Measures of association and statistical testing of hypotheses in Python

Designing data analysis workflows in Python

Intro to Bash and shell scripting

Intro to Python with Numpy and Pandas

Data Visualization in R with ggplot2

Intro to R - May 23, 2019

Data wrangling in R with magrittr, dplyr, and tidyr

R: Interactive Plotting with Shinny Apps

SQLite Full Text Search in Python

Intro to Git

Plotting with Matplotlib in Python

Web Scraping in Python

Statistics in R

Intro to Statistics in R

Best practices for reproducible programming

Intro to Python

Intro to Version Control with Git and GitHub

Machine learning: introduction to concepts

Object-oriented programming in Python

Python: Statistical Methods - December 6

Data Carpentry - Data Analysis and Visualization with Python - Part 1

R: Plotting with theme of Heatmaps - November 1

Intro to Git

Intro to Statistics in Python

Intro to Bash

Data Carpentry - Data Analysis and Visualization with Python - Part 4a

Pandoc and Markdown

Intro to Pandas in Python

Intro to Git

Information on the Air: Software-Defined Radio

Intro to R

Intro to Bash and shell scripting

Supervised machine learning in Python

Python Unit Tests

R: TidyR and Reshape2

Image Processing in Python

Virtualization vs. Docker Images, Sphinx for Documentation

Python: Machine Learning with scikit-learn

The Class Structure in Python

Git: continuous integration with examples in Python

Cartography and Mapping in Python

Image Processing in Python

Data Carpentry - Data Analysis and Visualization with Python - Part 2

Inkscape

Intro to Python for data analysis