Classes & Events

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. ...

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; ...

Your research data is important. In this session, we’ll discuss how to properly store, organize, and document your work to ensure that important data isn’t lost and that you are meeting expectations set by the parties that fund and publish your research. After this session, you’ll have the tools required ...

An important part of NIH grant proposals is the Data Management and Sharing Plan (DMSP) – a short document that describes what data will be acquired by the proposed work and how it’ll be kept, used, and made available to others. For funded grants, the contents of this plan become ...

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, ...

WiDS Stanford @ Medical Lane Library is independently organized by Lane Medical Library to be part of the mission to increase participation of women in data science and to feature outstanding women doing outstanding work. WiDS @ Lane Medical Library aims to inspire, engage, and support data scientists and women in the field. ...

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 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 ...

In this workshop, we’ll cover how to keep track of your research process. From ensuring you are following the right steps by maintaining good protocols and standard operating procedures to describing what happened on the day with lab notebooks, keeping good records is integral to ensuring your research process proceeds ...

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. ...

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; ...

Your research data is important. In this session, we’ll discuss how to properly store, organize, and document your work to ensure that important data isn’t lost and that you are meeting expectations set by the parties that fund and publish your research. After this session, you’ll have the tools required ...