31:T425,

3 Part Workshop Series

Data science workflows in JavaScript

From real-world data to real insights

Instructor
Allison Horst
Data Scientist Advocate at Observable

July 11^th, 18^th, and 25^th
9:00 AM PT to 11:00 AM PT

32:T62e,33:[{"id":"621e7ffb8bf7cb7fec80580eca21b31f6824a8cff34ebfcaef52c4853d2d188eb8a023d824e7f8f9f0d3160fc3fa117732452020d044bdd7e0cbd6230ea07c77","href":"https://static.observableusercontent.com/files/621e7ffb8bf7cb7fec80580eca21b31f6824a8cff34ebfcaef52c4853d2d188eb8a023d824e7f8f9f0d3160fc3fa117732452020d044bdd7e0cbd6230ea07c77","name":"allisonhorst.jpeg","type":"image/jpeg","lastModified":1687298741051.671,"size":97213}] 2f:{"title":"Data science workflows in JavaScript: from real-world data to real insights workshop Series with Allison Horst","cells":[{"id":216,"value":"$31","pinned":false,"hidden":false,"mode":"html"},{"id":8,"value":"## Description \nAt 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 JavaScript and SQL, and multiple modes of sharing and communicating results, which options are the best for your project and team needs? \n\nIn this hands-on course, we will walk through three real-world case studies 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. \n\nParticipants can earn a certificate for the course by attending all workshop sessions and completing a short task.","pinned":false,"hidden":false,"mode":"md"},{"id":9,"value":"## Who is this course for? \n\nThis course is for anyone who wants to learn more about different features and options for working with data in JavaScript and in Observable. JavaScript, Observable, and SQL beginners are welcome.","pinned":false,"hidden":false,"mode":"md"},{"id":347,"value":"___","pinned":false,"hidden":false,"mode":"md"},{"id":10,"value":"# Topics","pinned":false,"hidden":false,"mode":"md"},{"id":276,"value":"details(md`### Workshop 1 \n** July 11th **\n- Attach local files in an Observable notebook\n- Do basic data wrangling and transformation in the Data table cell\n- Create a scatterplot in Observable Plot\n- Perform and visualize simple linear regression in JavaScript\n- Share a notebook with viewers and editors`\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":283,"value":"details(md`### Workshop 2\n** July 18th **\n- Access data from a remote file or API\n- Do some essential data wrangling (filter, mutate, select) in JavaScript \n- Build an interactive chart to explore data with Observable Plot and Inputs\n- Perform and visualize results of k-means clustering in JavaScript\n- Use embeds share and publish notebook content`\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":281,"value":"details(md`### Workshop 3 \n** July 25th **\n- Access and explore data in a database\n- Query, tidy, and transform data in SQL\n- Perform and visualize results of PCA in JavaScript\n- Collaborate with a teammate in your notebook`\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":291,"value":"___","pinned":false,"hidden":false,"mode":"md"},{"id":16,"value":"## Requirements\nParticipants need an [Observable account](https://observablehq.com/login?screen=signup) to join the course, so that they can fork a notebook (to make their own copy with edits saved). The bulk of this course involves follow-along activities. ","pinned":false,"hidden":false,"mode":"md"},{"id":299,"value":"___","pinned":false,"hidden":false,"mode":"md"},{"id":293,"value":"## Register Today","pinned":false,"hidden":false,"mode":"md"},{"id":222,"value":"","pinned":false,"hidden":false,"mode":"html"},{"id":202,"value":"___","pinned":false,"hidden":false,"mode":"md"},{"id":205,"value":"## About the Instructor\nAllison Horst is a Data Scientist Advocate at Observable. Before joining Observable, Allison spent a decade teaching data science, statistics, and data analysis as a teaching faculty member at UC Santa Barbara. She is passionate about empowering learners with data science skills they need to answer questions they care about, developing open educational resources, building and participating in learning communities, and art in data science education.\n\n\nConnect: [Observable](https://observablehq.com/@allisonhorst) | [LinkedIn](https://www.linkedin.com/in/allison-horst/) | [Twitter](https://twitter.com/allison_horst) | [Mastodon](https://mastodon.social/@allison_horst) | [Website](https://allisonhorst.github.io/) | \n[Data science artwork](https://allisonhorst.com/)\n","pinned":false,"hidden":false,"mode":"md"},{"id":187,"value":"___","pinned":false,"hidden":false,"mode":"md"},{"id":199,"value":"bannerrobert(\"Interested in learning more about collaborating with data?\", \"Sign up for free\", \"https://observablehq.com/product?utm_medium=social&utm_campaign=sql_course&utm_source=observablehq.com\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":197,"value":"___","pinned":false,"hidden":false,"mode":"md"},{"id":189,"value":"$32","pinned":false,"hidden":false,"mode":"html"},{"id":193,"value":"import {bannerrobert} from \"@observablehq/coursestyle\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":191,"value":"import {details} from \"@observablehq/callout-boxes\"","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W33","stdlib":"1","titling":"auto"}