Outside of the classroom, podcasts help me stay current with data science news and local events. If you have any podcast suggestions that touch on analytics careers, data science, machine learning, or artificial intelligence, I’d love to hear from you!

• Scatter Podcast: Hosted by Javier Orraca (hey, that’s me!), Scatter Podcast conducts interviews with analytics, data science, and insights professionals at startups and publicly traded corporations to better understand what a “day in the life” looks like, and to garner tips for students and job seekers
  
• Super Data Science Podcast: Hosted by Kirill Eremenko, the goal of the Super Data Science podcast is to bring you the most inspiring data scientists and analysts from around the world
• Data Skeptic: Hosted by Kyle Polich, Data Skeptic aims to reveal the science of fake news
• AI Podcast by Lex Fridman: This is one of the more forward-thinking podcasts available. Hosted by Lex Fridman, AI thought-leader and research scientist at MIT, you get to hear about the latest trends in data science from some of the biggest names in the industry. Almost every guest that Lex hosts is a world-renowned machine learning developer and/or artificial intelligence leader.
• Linear Digressions: This podcast is great for students and practitioners, each episode covering the complexities of a specific data science topic, e.g., A/B testing and compliance bias, data privacy laws, text analysis (and tools like Word2Vec), computational limitations, AutoML tools, etc.