Data science workflows in JavaScript: from real-world data to real insights workshop Series with Allison Horst

​At each step of the data science project lifecycle, Observable supports options that can accelerate the time to get from data import to shared insights for users with different expertise and coding knowledge. With a range of ways to import data, tools for low- and no-code data wrangling and visualization, options for analysis in SQL and JavaScript, and multiple modes of sharing and communicating results, which options are the best for your project and team needs?

​In this hands-on course, we will walk through three real-world case studies in Observable from data import to communication, each highlighting a different set of tools available to use in a data science workflow. By the end of the workshop, you'll be ready to mix-and-match tools to best suit your skill set and the specific needs of your data work - whether working solo or with your team.

​Participants can earn a certificate for the course by attending all workshop sessions and completing a short task.

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