There is a podcast for everything, from expanding your vocabulary in data science to staying current with industry news, learning new data skills, and even obtaining guidance on landing your first data science job.

Whether you're a novice or an experienced pro, listening to some of these 20 podcasts can help you become a better data professional. 

What's best? While doing chores around the house, shopping for groceries, working out, or doing other things on the fly, you may fit in some listening.

Data Science Podcast: Definition

A data science podcast is a podcast that focuses on the field of data science. This can include data analysis, machine learning, artificial intelligence, statistics, and big data. 

These podcasts often feature interviews with data scientists, researchers, and industry experts discussing their work and providing insights on the latest trends and developments in the field. 

They also may provide tutorials and practical tips for listeners on performing specific data science tasks and using different tools and techniques. 

Some data science podcasts may also focus on specific data science applications in different industries, such as finance, healthcare, or retail. 

The main goal of data science podcasts is to provide a better understanding of the field of data science and its impact on society.

17 Data Science Podcasts

This article provides a list of 17 Data Science Podcasts that you should listen to in 2023 if you are a data science student or interested in Data Science. They are as follows: 

Data Skeptic

“Data Skeptic" is a podcast that explores the intersection of data science and scepticism. The podcast aims to provide a critical perspective on data and statistics in decision-making and covers topics such as machine learning, artificial intelligence, and big data. Each episode features an interview with a researcher or industry expert discussing their work and the broader field of data science.

Linear Digressions

"Linear Digressions" is a podcast that explores various data science and machine learning topics. The podcast covers deep learning, natural language processing, and reinforcement learning. The hosts discuss different concepts and techniques in a conversational format, making the content accessible to a broad audience.

Data Engineering Podcast

"Data Engineering Podcast" is a podcast that focuses on the infrastructure and operational aspects of data science. The podcast covers data pipelines, data storage, and data management. It features interviews with engineers and practitioners in data engineering and aims to provide insights and best practices for building and maintaining data systems.

Data Science at Home

"Data Science at Home" is a podcast focusing on the practical aspects of data science and machine learning. The podcast covers data visualisation, data cleaning, and model evaluation and aims to provide listeners with the skills and knowledge needed to perform data science tasks independently. The host discusses various techniques and tools used in data science and offers tips and tricks for using these tools effectively.

Partially Derivative

"Partially Derivative" is a podcast focusing on data science and machine learning podcast. The hosts, Jonathon Koolpe and Vidya Spandana discuss a wide range of topics related to data science and machine learning, including new developments in the field, interviews with experts, and discussions of current research.

The Data Science Lab

"The Data Science Lab" is another podcast focusing on data science and machine learning. The host, Dr Roberto Reif, conducts interviews with experts in the field and discusses a wide range of topics, including big data, artificial intelligence, and data visualisation.

Talking Machines

"Talking Machines" is a podcast that covers the latest artificial intelligence and machine learning developments. The hosts, Katherine Gorman and Neil Lawrence discuss current research, new field stories, and expert interviews.

Data Science 101

"Data Science 101" is a podcast that aims to provide an introduction to data science for those new to the field. The host, DDrLisa Dierker, provides explanations of key concepts and tools used in data science and interviews with experts in the area.

Data Stories

"Data Stories" is a podcast that explores the intersection of data and design. The hosts, who are data visualisation experts, discuss various topics related to data visualisation and storytelling topics and share their insights on effectively communicating data-driven insights. The podcast features interviews with experts in the field and covers topics such as data storytelling, data journalism, and data visualisation best practices.

The O'Reilly Data Show

"The O'Reilly Data Show" is a podcast that explores the latest trends and technologies in data science, machine learning, and artificial intelligence. It provides a broad perspective on the field and aims to give the listeners a better understanding of the latest developments in data science and AI. The podcast features interviews with industry experts and researchers and covers natural language processing, computer vision, and deep learning.

Data Science Weekly

"Data Science Weekly" is a podcast that provides listeners with a weekly update on the latest happenings in data science. The hosts discuss the latest news, research papers, and events in the area and provide their expert analysis of the latest trends and developments.

Data Science Salon

"Data Science Salon" is a podcast that explores the real-world applications of data science. The podcast covers healthcare, finance, and retail topics and aims to provide listeners with a better understanding of the impact of data science on society. The podcast features interviews with data scientists and practitioners who discuss their work and share their insights on how data science is used in different industries.

Machine Learning Guide

"Machine Learning Guide" is a podcast introducing machine learning, aiming to demystify the subject. The podcast covers different ML models and techniques, focusing on applying them in real-world scenarios. It provides practical tips and tricks to help listeners understand and use the concepts in their projects.

The Data Science Report

"The Data Science Report" is a podcast that provides an overview of the latest research and developments in data science. The podcast aims to provide listeners with a broader understanding of the field and to keep them updated on the latest research in data science. The hosts discuss the latest papers and findings from leading journals and conferences and provide their expert analysis of the implications of these findings for the field.

Data Science for Business

"Data Science for Business" is a podcast that explores the use of data science in business. The podcast features interviews with data scientists and business leaders who discuss how data science is used in different industries to drive business decisions and improve operations. The podcast covers topics such as predictive modelling, customer analytics, and big data and aims to provide listeners with a better understanding of the impact of data science on business.

Data Science in Production

"Data Science in Production" is a podcast focusing on the practical aspects of deploying data science models into production environments. The podcast covers model deployment, model monitoring, and model maintenance. It features interviews with data scientists and engineers who discuss their experiences and best practices for deploying data science models in production.

Machine Learning Mastery

"Machine Learning Mastery" is a podcast that introduces machine learning and aims to help listeners understand the concepts and techniques used in the field. The podcast covers different machine learning models and algorithms and provides practical tips and tricks to help listeners understand how to apply them in real-world scenarios. It aims to allow listeners to develop the skills and knowledge needed to build machine-learning models independently.