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designing and conducting research and other scholarly activities

Strategies and Tools for Managing Your Data

This workshop provides an overview of the principles of data management, including best practices for documentation and file management.  We will share some useful tools for making your data management workflow easier.

This workshop is offered by Stanford Libraries' Center for Interdisciplinary Research as part of its mission to provide training in technical academic research practices and applied research methods.

Gear Up for Social Science Data Extravaganza

Discover: Social science data sources for your researchMeet: Subject Librarians & Data Provider Representatives at GSB Workshops & the Green Library Data ExpoAttend: Data Talks, Workshops and Demos, Tour the David Rumsey Map CenterWhere: Graduate School of Business Library (GSB) & Green Library

Graduate School of Business Library (Bass Center) from 9:00AM-12:00PMWorkshops and information sessions include:

Data Manipulation with Python

This workshop teaching basic data manipulations with Python using the Pandas library, and will cover topics such as loading data into a Pandas DataFrame, performing basic cleaning and analysis, and visualizing relevant aspects of a dataset. To learn these skills concretely, we will work with a dataset of tweets collected during the release of the Apple Watch.

Introduction to Machine Learning with Python

The objective of this workshop is to introduce students to the principles and practice of machine learning using Python.  This workshop will assume some basic understanding of Python and programming; attendance at the Introduction to Python workshop is recommended.

Preparation: Please consult this page to prepare your computer for the workshop: https://github.com/sul-cidr/python_workshops/blob/master/setup.ipynb  If you need help with the installation, please arrive 20 minutes early and we're happy to help you.

Introduction to Mapping and Spatial Analysis with R

Goal of this workshop is to provide an introduction to R as tool to visualize and analyze spatial data. You will learn about the structure and characteristics of the sp and the sf spatial objects in R, you will explore some spatial operations, and you will get an overview of how you can plot and map spatial data interactively from R.

Requires a basic familiarity with R.

Please bring your own laptop.

This workshop is only for individuals affiliated with Stanford University (SUNet ID required).

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