Full show notes, transcript and AI chatbot - https://bit.ly/40XHblN Watch on YouTube - https://youtu.be/Bc79OgBxR9w 00:02:03 Content creation as a process. 00:04:06 Transition from physics to AI. 00:08:02 YouTube content creation journey. 00:09:15 Beginners in data science content. 00:12:41 Personal wisdom and mental health. 00:16:20 Getting started in data science. 00:19:10 Data scientist vs. data analyst. 00:21:49 Data science role evolution. 00:25:24 Bridging skills gap in analytics. 00:28:25 Art of modeling in practice. 00:31:36 Model profitability and testing. 00:34:50 Predictive model implementation challenges. 00:38:39 A-B testing: Science or Art? 00:41:08 Statistics vs. common sense in decisions. 00:43:05 Business intuition and data science. 00:46:27 Preferred programming language for coding. 00:49:32 Content creation in data science. 00:52:46 Outro ----- Episode Summary: In this week's episode of The Measure Pod, Dan and Bhav are joined by Igor Howell, a rising voice in data science and content creation. They dive into the differences between analytics, data science, and machine learning, offering valuable insights for anyone in the field. Igor also shares his take on content creation, data-driven decision-making, and the key skills needed to grow your career in analytics. ----- About The Measure Pod: The Measure Pod is a podcast hosted by Daniel Perry-Reed the Principal Analytics Consultant and Trainer @ Measurelab and Bhav Patel then Director of Experimentation and Analytics @ LeanConvert - veteran practitioners of the marketing and product analytics industry. Join us, and the occasional guest, on our quest to make sense of the analytics industry, having some fun along the way. ----- If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together! The post #115 Lessons from a data science content creator (with Egor Howell @ Deliveroo) appeared first on Measurelab.