10 Best Data Analytics Podcasts That Data Analysts Love

Podcasts have evolved from a niche medium to one of the most popular methods to obtain news and information in recent years.

As data science evolves and new technologies emerge, it is crucial to be informed about these developments and what is going on in the data science field.

A podcast is similar to a news library that you may access from anywhere at any time. You may learn more about data science and get new perspectives from specialists in the area.

So, there’s a podcast for everything:

  • Expanding your data analysis vocabulary
  • Learning new data skills
  • Keeping up with the newest advances in the data analysis industry
  • Even obtaining help on landing your first data analysis job

Whether you’re just starting or a seasoned pro, listening to some of these podcasts and referring to a list of the best data analytics books can help you enhance your skills as a data professional.

And what’s the best part? When you’re cleaning the house, grocery shopping, exercising, or otherwise on the go, you can listen to music.

We’ve organized this list into a few major categories to make it easier for you to locate what you’re searching for. These podcasts are up to date and will help you a lot.

So, without any further ado, let’s get into it:

Which Data Analytics Podcasts One Must Listen to?

  1. Data Skeptic

    This podcast is for you if you want to listen to a challenging yet enlightening discussion. Guest interviews for talks on data science, statistics, and machine learning are the focus of the Data Skeptic Podcast.

    This audio series thoroughly examines key data science subjects and evaluates the various claims made in these fields. Each episode lasts about 30 minutes and is released once a week.

    The Data Skeptic Podcast is casual and amusing, but it can also be very helpful in terms of helping you comprehend popular data science and statistics issues.

    The conversations on statistics assist thinking more critically when tackling statistical challenges in analytics, even though this podcast emphasizes less on data analytics and more on data science.

  2. Data Crunch

    The Data Crunch Podcast is a podcast that focuses on data. Of course, data science, analytics, machine learning, and artificial intelligence are all covered, of course.

    The show’s main hosts are Ginette and Curtis, who interview prominent figures in data science. Every two weeks, each episode lasts around 30 minutes.

    This podcast merely supplies you with information. There are no extra features or frills. Simply excellent and thought-provoking stuff that will broaden your understanding of how data is managed across sectors through data strategy.

    This podcast provokes thought, features great interviews and thorough background research, and is useful and amusing! This podcast has excellent sound mixing, and the content is high-quality and well-researched. It is intriguing, but Ginette has a terrific radio voice as well.

    This podcast is excellent for you if you’re a geek who enjoys learning more about how different companies use data.

  3. Digital Analytics Power Hour

    The Digital Analytics Power Hour is indeed a very short podcast. Michael, Moe, and Tim, hosts in the analytics area, have open conversations about various topics from analytics to MarTech to statistics.
    If it has anything to do with data analytics, this show will cover it. The average episode lasts roughly an hour.

    Given how three hosts conduct this podcast series, most people assume it would be difficult to locate three people who work well together.

    The Digital Analytics Power Hour podcast, however, is an exception. You’d be astonished at how well these hosts work together in a casual, easygoing setting.

    This podcast is excellent for individuals who want an honest opinion on data issues. The hosts are so forthright that there are even a few expletives thrown around from time to time.

    The Digital Analytics Power Hour podcast is for you if you’re searching for an approachable, down-to-earth podcast.

  4. DataPoint

    The DataPoint podcast deals with data analytics in the realm of healthcare innovation.

    This podcast, hosted by Greg, explores various topics ranging from ai techniques to artificial intelligence as they relate to all aspects of healthcare. Each episode lasts approximately 30 minutes.

    Because healthcare analytics is becoming more popular, there are limited resources for understanding how analytics can be used in many areas of healthcare. If you’re interested in how data can be used in healthcare, this podcast is an excellent place to start.

  5. The Present Beyond Measure® Show

    The Present Beyond Measure show, which focuses on digital marketing and data analytics, is a terrific way for data analytics enthusiasts to learn more about data. The topics covered in this episode generally range from data visualization to data storytelling.

    Each hour-long episode is often hosted by Lea Pica and includes talks on specific data visualizations or chats with special guests from the data analytics industry.

    Lea’s podcasts are a great new perspective on data narrative and storytelling, which deserves more attention. There has been a greater emphasis on statistics and programming within the data analytics sector, with little consideration for good data presentation.

    The Present Beyond Measure podcast is ideal for listeners who want to improve their presentation skills and set themselves apart from those who crunch numbers without properly presenting them.

  6. Making Data Simple

    It’s all about data when it comes to Making Data Simple. It includes the most recent data science discussions and themes and some AI developments.

    Because the host, Al, is a VP of IBM, you might expect this podcast to focus on the ramifications for IBM from a diverse group of specialists.

    You can be sure you’re learning the appropriate topic if a VP of a huge corporation broadcasts a data podcast. This podcast is fantastic for anyone who enjoys discussing various topics!

  7. Data Science Salon

    The Data Science Salon is an outstanding podcast that combines interviews and coffee discussions with the emerging geniuses in data science, AI, and machine learning.

    It is a unique vertical-focused conference that has evolved into a varied community of professional machine learning and data science experts.

    The podcast aims to bring together experts to educate one another, develop new creative solutions, discuss data science best practices, and create a relaxed atmosphere.

    The most recent edition of the podcast discusses retail industry developments and difficulties. Among the guests on this podcast episode are Laya Shamgah (Data Scientist at Lowe’s), Phillip Rossi (Head of Data Science at Shopify), and Jeffrey Yau (Head of Data Science at Walmart Labs).

  8. SQL Data Partners

    This podcast is unlike the others mentioned; this one is for serious data scientists! This episode is for you if you’re exploring SQL for work or a current project.

    Carlos and his guests primarily talk about SQL servers and give their thoughts on them. Furthermore, the podcast includes some Power BI themes that are quite informative!

    Each episode lasts around 30 minutes to an hour, and new episodes are produced approximately every two weeks.

    The SQL Data Partners podcast is a warm and inviting environment where learning, sharing, and making friends are all priorities. If you enjoy casual discussions about your favorite SQL server, this podcast is for you.

  9. SuperDataScience

    Kirill Eremenko hosts the Super Data Science podcast. He’s a data science coach and lifestyle entrepreneur who developed this podcast to provide you with tips and advice on how to get started in the field of data science.

    He brings together prominent data scientists and analysts who will assist you in determining which path to take and how to succeed in the field of analytics. This entertaining podcast offers discussions about real-world data science tools, approaches, and data-driven processes.

    Learn more about data history, knowledge graphs, and time series analysis, or get job-ready with episodes devoted to resume recommendations and data science myths.

    Super Data Science podcast delivers the most recent and relevant artificial intelligence, machine learning, and larger data-world subjects from academia and industry.

    Because the amount of data on our planet multiplies every couple of years, and this trend is expected to continue for decades, you have a once-in-a-lifetime opportunity to make a huge difference whether you’re just starting in data or are a seasoned pro, whether you’d want to learn more about artificial intelligence or want to integrate more.

  10. DataFramed

    Hugo Bowne-Anderson and DataCamp have created a podcast called DataFramed. The program seeks to address questions about the various problems that data science can solve. It also seeks to define data science and show how it is applied.

    Data science is also known as the “greatest job of the twenty-first century,” but what issues can it solve? The DataFramed podcast will help you learn more about the business, from self-driving vehicles to climate change and medical diagnosis.

    This podcast is a fantastic resource for data science in general. DataFramed is a must-read for aspiring data scientists and anybody interested in learning more about data science.

How is a Podcast Helpful in Data Analytics?

Working in data science is a challenging task. On the other hand, data science podcasts present you with thought-provoking problems and lively debates among specialists in the field of information science.

Podcasts can assist you in learning more about Python, exploring SQL foundations, or even hiring a remote workforce.

Podcasts can help you understand complex topics and keep you up to date with the newest advancements as an alternative to traditional methods of studying a new subject (textbooks and tests).

You can apply all of the fresh ideas and principles you’ve picked up from others to come up with inventive solutions to the challenges you’re facing. Podcasts on data science can help you if you are a data science enthusiast or a professional data scientist.

What are the Advantages of Listening to a Data Analytics Podcast?

One of the most significant advantages of data analysis podcasts is that they attract people further along in their careers.

They’ll share their unique experiences, ups and downs, mistakes they’ve made, and key roadblocks they’ve encountered, allowing you to learn from their mistakes and prevent them in your career.

Data analysis is a topic that is always changing, and you want the most up-to-date information possible. Before you finish reading a textbook, it may become obsolete. Even online courses cannot keep up with the novel techniques in this field.

However, podcasts appear to have been designed specifically for discussing fast-changing fields like Data analytics; they are adaptable enough to give you the most up-to-date knowledge and present the latest news and trends.

Furthermore, unlike audiobooks, which include an author telling a tale, data analytics podcast episodes typically feature two or more specialists conversing.

Data analytics podcasts could be really useful. They will provide you with various viewpoints, professional perspectives, and the most recent news. Listening to these types of discussions will help you advance professionally.

Frequently Asked Questions

What is a data analytics podcast?

Storytelling through visualization—for example, presenting insights in graphs and charts—is an important part of a data analyst’s job. While numerous podcasts cover topics like machine learning and artificial intelligence, Data Stories is unusual because it concentrates on data visualization.

What are some data analytics podcasts to listen to in 2022?

Some of the data analytics podcasts to listen to in 2022 are:

  • Data Skeptic
  • DataPoint
  • Data Crunch
  • DataFramed
  • SQL Data Partners
  • SuperDataScience

Why should you listen to data analytics podcasts?

Podcasts on data analytics could be beneficial. They’ll provide you with various perspectives, professional perspectives, and the most up-to-date information. You will develop your personality very much if you listen to these discussions.

What is data science used for?

Data science helps to learn about people’s behaviors and processes, design algorithms that rapidly and efficiently process massive volumes of data, improve sensitive data security and privacy, and lead data-driven decision-making.

Conclusion

This brings us to the conclusion of the blog post about Data Science Podcasts to Listen to in 2022. Podcasts are an excellent method to learn more about a particular subject.

During your commute or free time, you can listen to podcasts and be productive somehow. We hope that this blog will provide you with some useful information.

Gaurang Bhatt

Written by

Gaurang Bhatt

Gaurang has 15+ years of experience solving complex business problems and enabling businesses with data-driven decisions using data analysis and predictive modeling tools like Tableau, Power BI, Looker, and Google Data Studio. His expertise lies in data visualization, reporting, and creating ETL pipelines. In addition, he is passionate about exploring different technologies like machine learning and AI. He shares his knowledge and learnings on the LabsMedia platform.