Classes & Events

This class is a continuation of Part 1, and participants will build on their knowledge and skills acquired in Part 1. R is a popular statistical computing programming language used to explore data and make plots. In this class, participants without any background in programming will learn the basics of ...

Visualization Is a key part of exploring and understanding patterns within data sets. This session introduces matplotlib, a popular library used to make scientific plots in Python. The purpose of this session is to provide a simple introduction to the matplotlib interface and to create two simple plots to visualize ...

This course equips healthcare researchers and professionals with the skills to navigate the evolving landscape of open science. Topics include NIH open science policies, grants supporting open-access publishing, strategies for identifying and selecting open-access journals, and managing and sharing data for compliance and impact. Through interactive discussions and hands-on exercises, ...

Event Details: This month we will be joined by Emily Pavia, Dave Fisher, and James Douglass, members of Stanford's Natural Capital Project (NatCap), a Stanford-based partnership among interdisciplinary researchers, professionals, and leaders around the world that supports nature-informed decision-making about policies and investments. Representing NatCap's software & data management teams, Emily, ...

This is Part 2 of our Scientific Data Visualization class. This session builds on Part 1, and participants continue to learn how to use matplotlib and different ways of visualizing data. The code that is developed in this course can be used on data in other contexts. At the end of ...