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This week on Richard's journey to a six-figure data science job, we're benchmarking product metrics and A/B testing skills. Richard and I dive into an A/B testing case study that will help us understand where his knowledge of product metrics stands. 🔥Get 10% off data science interview prep: https://www.interviewquery.com/pricin... Whether you’re looking for your first job or to transition to a more senior role, I hope this series inspires you to take your career to the next level. Be sure to follow along for tips and an inside look at the interview process! SQL Question: https://www.interviewquery.com/questi... A/B Testing Question: https://www.interviewquery.com/questi... First episode: • Six-Figure Data Science Job - Mentorship S... Second episode: • Six-Figure Data Science Job - Mentorship S... Subscribe to my data science channel: https://bit.ly/2xYkyUM ❓ Check out our Statistics & AB Testing course: https://www.interviewquery.com/learni... 🔑 Get professional coaching here: https://www.interviewquery.com/coachi... 🐦 Follow us on Twitter: / interview_query 📸 Follow us on Instagram: / interview_query 00:00 - Intro 00:43 - Last session solution review 3:20 - SQL course update & feedback 7:26 - Case study question 9:15 - Feedback: precise definitions 11:32 - Feedback: State assumptions 12: 56 - Define the business model 15:10 - Feedback - Defining the control group 16:24 - Feedback - Defining the buckets 17:57 - Feedback - Measuring success 19:28 - Defining a north star metric 21:31 - Answering case study questions 22:53 - Web traffic monetization methods 23:50 - Session vs. user-based A/B testing 26:19 - Consistency avoids other causal effects 27:40 - Customer lifetime value 29:41 - General feedback 29:53 - Homework 30:40 - Plans for the next episode Read my personal blog: https://datastream.substack.com/ Follow me on Linkedin: / jay-feng-ab66b049