Welcome to the Data Podcast for Nerds! where we interview amazing professionals and learn how they use data to solve the world's problems. We're sharing all the tips, tricks, and nerdy fun bits to make you the best data analyst you can be!

Data Podcast for Nerds!
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Podcast Overview
Welcome to the Data Podcast for Nerds! where we interview amazing professionals and learn how they use data to solve the world's problems. We're sharing all the tips, tricks, and nerdy fun bits to make you the best data analyst you can be!
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Publishing Since
1/13/2023
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Recent Episodes

May 28, 2026
Don't Be Afraid to Break the Code: Revolutionizing IT Audit with Databricks | David Lee
<p>Learn all about how an internal auditor uses data to solve the world's problems, one brick at a time.</p><p><br></p><p>In this episode of the Data Podcast for Nerds, we talk with David Lee, Director of IT Audit & Data Analytics, to discuss how he transitioned from hardware in the Air Force to revolutionizing the world of internal audit. </p><p><br></p><p>From his "Aha!" moment with Jupyter Notebooks to his current obsession with Databricks, David explains why the secret to mastering AI isn't just about technical skill, it’s about the willingness to fail and build it back better.</p><p><br></p><p><br></p><p>Highlights 🔦</p><p>- Creating a Safe Space to Learn by using the Databricks Free Edition for your "wacky" experiments. It’s a low-stakes environment where you can practice building data pipelines without the fear of your IT administrator seeing your noob mistake.</p><p>- Automating the "Messy" Stuff: like automatically pulling critical data from unstructured PDFs and cleaning messy vendor columns in seconds.</p><p>- Discovering how Databricks AI Genie allows auditors to build applications and analyze data simply by typing prompts, effectively changing the role of a "coder" into a "code reviewer".</p><p><br></p><p>Where to find David: <a href="https://www.linkedin.com/in/david-lee-cpa-cisa-crisc-pmp-9a108a97/" target="_blank" rel="noopener noreferer">LinkedIn</a></p>

May 7, 2026
Navigating the Human Side of Artificial Intelligence | Tiankai Feng
<p>Learn all about how The Data Maestro uses data to solve the world's problems, one Gartner 2006 Reading Guide at a time.</p><p><br></p><p>In the latest episode of the Data Podcast for Nerds, we talk with the "Data Maestro" himself, Tiankai Feng, to explore why the "why" behind data is just as important as the data itself.</p><p><br></p><p>Whether you are a data professional or just AI-curious, this episode dives into how we can keep humanity at the center of the AI revolution and why you shouldn't panic about becoming a machine learning engineer overnight.</p><p><br></p><p>Highlights 🔦</p><p>- Understanding why curiosity is a strategist's best tool.</p><p>- How to best learn GenAI, by jumping in with hands-on interaction.</p><p>- Why human ideas are more valuable than ever in an AI-saturated world.</p><p><br></p><p>Plug in your headphones, grab your favorite to-do list, and join the conversation.</p><p><br></p><p>Where to find Tiankai</p><p><a href="https://www.linkedin.com/in/tiankaifeng/" target="_blank" rel="noopener noreferer">LinkedIn</a></p><p><a href="https://www.youtube.com/@KaiFeng" target="_blank" rel="noopener noreferer">YouTube</a></p><p><br></p><p>Books:</p><p><a href="https://a.co/d/0gt5Vi6l" target="_blank" rel="noopener noreferer">Humanizing Data Strategy</a></p><p><a href="https://a.co/d/0ax6g0Kf" target="_blank" rel="noopener noreferer">Humanizing AI Strategy</a></p><p><br></p><p>******</p><p><br></p><p>Data Career Coaching</p><p><a href="https://nerdnourishment.as.me/">Book a call</a> to learn more</p><p><br></p><p>MERCH!!</p><p>Grab your <a href="https://www.nerdnourishment.com/merch">nerdnourishment swag</a></p><p><br></p><p>Support</p><p>If you like what you see, consider <a href="https://www.buymeacoffee.com/nerdnourishment">buying me a broccoli</a> (it fuels my creativity)</p>

March 26, 2026
From Computer Vision to Children’s Books: Demystifying AI | Kristen Kehrer
<p>Learn all about how The ML Demystifier uses data to solve the world's problems, one children's book at a time.</p><p><br></p><p>One of the most recognizable (and brilliant) faces in the LinkedIn data community, Kristen Kehrer, joined me for Season 4 of the Data Podcast for Nerds, and we went down some truly fascinating rabbit holes.</p><p><br></p><p>If you’ve ever wondered how to explain your complex data job to a first-grader or how to use computer vision to make sure you don't miss the school bus while you're distracted cooking an English muffin, this episode is for you!</p><p><br></p><p>Highlights 🔦</p><p>- Using the "screenshot the traceback" method for debugging.</p><p>- Knowing exactly when it's time to stop prompting and actually read the docs.</p><p>- Mastering essential libraries to successfully navigate technical job interviews.</p><p><br></p><p>Whether you want to learn how to build your own AI projects or just want to hear how to explain data science to a first-grader, this episode has it all 🤓</p><p><br></p><p>Where to find Kristen: <a href="https://www.linkedin.com/in/kristen-kehrer-datamovesme/" target="_blank" rel="noopener noreferer">LinkedIn</a></p><p><br></p><p>Books:</p><p><a href="https://a.co/d/0hGI9jM1" target="_blank" rel="noopener noreferer">Susie's School Bus Solution</a></p><p><a href="https://a.co/d/0apF7iH7" target="_blank" rel="noopener noreferer">Harry's Lemonade Solution: A Business Analysis Story</a></p><p><br></p><p>******</p><p><br></p><p>Data Career Coaching</p><p><a href="https://nerdnourishment.as.me/">Book a call</a> to learn more</p><p><br></p><p>MERCH!!</p><p>Grab your <a href="https://www.nerdnourishment.com/merch">nerdnourishment swag</a></p><p><br></p><p>Support</p><p>If you like what you see, consider <a href="https://www.buymeacoffee.com/nerdnourishment">buying me a broccoli</a> (it fuels my creativity)</p>
105 total episodes available
Recent guests on Data Podcast for Nerds!
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Ollie Hughes
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Arpna Aggarwal
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Fabrice Joseph
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- What is Data Podcast for Nerds!?
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This podcast updates weekly.
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This podcast is available on 8 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
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