Classes & Events

Event Details: This month we are joined by Kelly Yoo and Meenu Krishnakumar from Stanford, who will discuss their work on MySuppleHub. Over half of US adults use dietary supplements, yet the evidence supporting many products remains fragmented, uneven in quality, and often influenced by industry funding. MySuppleHub, developed by the ...

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 the R programming language and use it to explore simple data sets. At the end of this class, participants will be able ...

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 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 ...

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 ...

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 the R programming language and use it to explore simple data sets. At the end of this class, participants will be able ...

Python is an interpreted, high-level, general-purpose programming language. Part 1 of this interactive, hands-on session introduces students to the basic functionalities of Python as students will learn foundational programming skills and gain experience in applying Python to real-world scenarios that they can then use in the context of their own work. ...

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 ...

Part 2 of this interactive, hands-on session builds on what participants learned in Part 1, and it continues to expand foundational programming skills and practical applications of Python that students can apply in the context of their own work. Learning objectives: 1) automate tasks with loops; 2) perform conditional operations; ...

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, ...