Building data fluency for modern science

Hands-on training in R, Python, visualization, mapping, and reproducible data workflows.

I provide training and workshops on various data science concepts and tools. These are customized to your specific needs, are interactive, and include “live” data work.

Based on your needs and available time, I can design training and workshops of various durations: from half-day to multiple-day workshops, and even sessions spread out over multiple weeks.

Data science with environmental data

Building data acumen
Exploratory Data Analysis

Introduction to scientific programming with R and/or Python

General introduction to scientific programming concepts and tools

Introduction to data science with R and/or Python

Focus on specific tools and packages for data science
Customization around packages for environmental data (hydrology, forestry, geospatial)

Advanced R programming: creating workflows

Automation with functions and Quarto document creation

Visualizations for data story telling (with R)

Making maps with R (geospatial topics)

Version control tools (Git, GitHub, GitLab)

And many more data science topics!