In data science and analytics, it is often somewhat difficult for new analysts to get a grasp of the field before actually starting at a real job. During education, the task is often contained and clean: "Here's churn.csv, choose a model and report the metrics." But on the job it is often much less clear, much more expansive, and beckons a much more holistic judgment: "The Director is meeting the Legislature at noon Monday, this needs to be on my desk by 4 on Friday. Here's a handful of tables that might be helpful, but there are many idiosyncrasies in them. Also, we aren't entirely sure what about the Director's meeting is supported by the data, but I'm sure you can figure it out. Good luck." I built The Analyst as a flight simulator of sorts for the field. You get dropped in as a new analyst in a fictional company with millions of rows of data and dozens of tables and asked to develop real products exercising real judgment. It's all free and open-source and requires no accounts, signups, or personal info, and all of it exists in the browser. You perform SQL, Python, and the summary work inside the browser, and there's export options for GitHub portfolios, to share socially, or to give to your instructor for evaluation. And yes, there's an Instructor Desk for those teachers, giving them guidance and direction. Importantly, there are no answer keys anywhere: the website gives concepts and ideas you should pick up on, but the deep judgment evaluation is left for another human. I'm definitely excited about it, and while there are a lot of places online that encompass parts of the vision here, almost all require payment and are closed-source. I truly hope this site proves useful for many people! I'd love any feedback you all have. Thanks much.