Hi all! Data Interview Qs sends you a few practice data science interview questions per week through an email newsletter. Landing a data science or analyst job at a top tech company is tough. There are a lot of resources out there to improve your skills. However, we felt many were overwhelming -- offering a vast repository of questions (many not well-vetted) for users to search through, or shallow question lists optimized for clicks. We believe by sending just a few questions per week via email, users will gain consistent practice. Since these questions come at a regular cadence through email, it helps folks to get into a rhythm and improve at interviewing over time, rather than all in one go. By breaking up the time in between the questions, you'll also find that you retain the information better. We're excited to be back with version 2.0. Since our initial launch ~9 months ago, users at institutions like Harvard, Yale, Nasa, Facebook, and LinkedIn have used Data Interview Qs to help prepare for DS interviews and keep their analytical skills sharp in general. For version 2.0, we've added interactive Colab (e.g. Jupyter or iPython) notebooks across hundreds of questions. For ~1/3rd of questions, users will now also receive a link to an interactive notebook allowing them to execute python code against the question directly in their browser (no set up needed). Additionally, we've continued to improve both the quality and quantity of our questions, adding hundreds more questions to our repository. Sign up for free to start receiving our questions, and sign up for $19/mo to receive detailed solutions to each question we send. If you got this far, thanks for reading! Any feedback would be appreciated. :) - Erik