🍣 Sensational Sushis
We like our fish like we like our data
Welcome to the sixtieth ever issue of Monday Morning Data Science from the Fred Hutch Data Science Laboratory. We are excited to show you what we have been working on (Fresh from the Lab), plus links that we think you would be interested in (Our Weekly Bookmarks Bar). Part of the purpose of this newsletter is to start conversations, so if you have a question or there is something you would like to share with us please let us know by responding directly to this email.
Fresh from the Lab
[New Coursera Course: AI for Decision Makers] This course on AI for Decision Makers explores the growing use of AI across disciplines and its potential benefits and challenges. The course covers necessary context, such as discussing what AI is, how it works, Ethical considerations, and policy considerations. Through exploring the many AI possibilities at your fingertips, you will build leadership skills for helping your business, lab, organization, or community work more efficiently, creatively, and ethically.
Our Weekly Bookmarks Bar
[Open Course Materials: Statistical Programming Paradigms and Workflows] Friend of the lab Stephanie Hicks’ new course covers topics such as programming in Unix/command-line tools, version control, advanced R and tidyverse skills, creating R packages with documentation, working with relational databases, functional programming, using data from APIs, and introduction to Shiny and dashboards. The course materials include lectures and projects, and they emphasize practical examples in statistical data analysis.
[Event: Data Mishaps Night] We are really looking forward to this event, which focuses on sharing and learning from mistakes made in data science and analytics. Participants share stories about data errors, analysis gone wrong, or misinterpretations, with the aim of learning valuable lessons from these experiences. This event includes presentations, discussions, and networking opportunities, emphasizing a constructive and humorous approach to dealing with data mishaps.
As always you can contact us by replying directly to this email, you can contact the Data Science Lab at data@fredhutch.org, or you are welcome to join us on the Fred Hutch Data Slack Workspace. For more information about the Fred Hutch Data Science Lab, visit our website: https://hutchdatascience.org/. See you next week!
- The Fred Hutch Data Science Laboratory