Search for tag: "datalab"

This hands-on workshop led by DSI’s Carl Stahmer will cover the fundamentals of working with the Git versioning control system for both individual and team development. Topics covered will…

The internet is an important source of data, and programmatic access to online data has revolutionized our ability as researchers to ask interesting questions across domains. This workshop, led…

In this hands on, informal workshop, we’ll discuss case studies in making R code faster and more memory efficient. Learners will gain an overview of the challenges and strategies for…

This workshop provides an introduction to using Python for data analysis. We’ll discuss what Python is and how it’s organized, demo types of tasks this software is well suited for,…

This hybrid asynchronous/synchronous workshop will cover the fundamentals of using version control for reproducible research. Topics covered will include installing the Git versioning control…

Geocoding is the process of estimating a real-world location (typically we think of latitude & longitude) from a postal address. In this workshop, we’ll discuss the concepts needed to…

This workshop covers best practices for organizing and documenting your digital projects for robust, reproducible research. Topics covered will include data documentation, forms of metadata at both…

This introductory workshop will cover common data types and basic GIS (geographic information systems) concepts. We will use QGIS, open source GIS software with a graphical user interface (as…

Description: Leah Nagel, Jr. Specialist for the Center for Watershed Sciences, will lead participants in an introduction to R for spatial data. Learning Objectives – by the end of the…

This workshop will introduce you to cloud computing, Amazon Web Solutions’ infrastructure (including AWS Regions and Availability Zones), and the types of workloads that are a good fit for…

This workshop introduces cloud computing, Amazon Web Solutions infrastructure (including AWS Regions and Availability Zones), and the types of workloads that are a good fit for AWS. This session…

The California Election 2020 Data Challenge is a month-long data science + civic engagement competition designed to leverage public data to help us understand this year’s ballot…

In this workshop, participants will learn how to make map figures for academic publications such as journal articles and books. Participants will learn how to find and understand art…

In this workshop, participants will learn a few of the many options for visualizing spatial data in R. Participants should have an introductory understanding of R and have R installed on their…

Learn and practice how to talk directly to your computer via command line. The shell is a very powerful tool for using scientific software and working with large data sets. It is primarily used…

This workshop covers an introduction to natural language processing (NLP) and caveats for its application to health data. Using the R programming language we will introduce the basics of text…