Meylissa Johan
Updated on
January 16, 2025
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Data Skeptic breaks down complicated data science concepts into bite-sized, digestible episodes. Whether you’re exploring statistical methods or deep learning, this podcast provides concise explanations on a wide range of topics, often featuring guest experts in the field.
If you’re looking for a podcast that covers everything from foundational topics like Bayesian inference to advanced machine learning methods, Data Skeptic is an invaluable resource for any aspiring data scientist.
The Data Science Podcast delves into the challenges and opportunities in the field of data science, with a focus on both technical and non-technical aspects. Hugo interviews top-tier data scientists, offering valuable insights into the career path and the field’s latest advancements.
This podcast tackles data science from a practical, real-world perspective. Hosts Hilary and Roger discuss career development, data analysis techniques, and stories from their own experiences in the field. If you’re looking for insights that go beyond textbooks, this is the podcast to listen to.
The AI Alignment Podcast explores how artificial intelligence intersects with the future of humanity. While it’s more AI-centric, data analysts can benefit from the podcast’s discussions around machine learning, ethics, and the future of tech.
DataFramed is a great resource for data analysts who are looking to deepen their technical expertise. Each episode features deep dives into key data science topics and is filled with practical advice for those in or entering the field.
This podcast combines both high-level insights and technical tips, making it perfect for analysts at all levels. If you’re ready to go beyond the basics and explore more advanced topics in data science, DataFramed is a must-listen.
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