
Insights from recent episode analysis
Audience Interest
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Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
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Estimated from 1 chart position in 1 market.
By chart position
- 🇫🇮FI · Technology#573K to 10K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
1.5K to 5K🎙 Weekly cadence·31 episodes·Last published 1mo ago - Monthly Reach
Unique listeners across all episodes (30 days)
3K to 10K🇫🇮100% - Active Followers
Loyal subscribers who consistently listen
900 to 3K
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 11 epsHost
Recent guests
Recent episodes
S05E02 - Magical Glue Person
May 4, 2026
57m 50s
S05E01 - Will GenAI kill software?
Mar 16, 2026
50m 48s
S04E05 - 2025 in review
Jan 24, 2026
47m 48s
S04E04 - Better survey design with AI - with Kirsten Hill
Jun 22, 2025
54m 36s
S04E03 - AI-assisted journaling with reconfigured - with Richard Makara and Niko Korvenlaita
May 14, 2025
54m 38s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 5/4/26 | ![]() S05E02 - Magical Glue Person✨ | GenAIchange management+4 | — | The Well-Grounded Data Analyst | — | GenAIvibe coding+4 | — | 57m 50s | |
| 3/16/26 | ![]() S05E01 - Will GenAI kill software?✨ | GenAIsoftware development+3 | — | The Well-Grounded Data AnalystGenAI | — | — | — | 50m 48s | |
| 1/24/26 | ![]() S04E05 - 2025 in review✨ | AIsci-fi books+1 | — | The Three-Body ProblemDark Matter Developers+2 | — | 20252026+1 | — | 47m 48s | |
| 6/22/25 | ![]() S04E04 - Better survey design with AI - with Kirsten Hill✨ | survey designAI+2 | Kirsten Hill | bisquethe University of Pennsylvania+7 | — | surveysLarge Language Models+2 | — | 54m 36s | |
| 5/14/25 | ![]() S04E03 - AI-assisted journaling with reconfigured - with Richard Makara and Niko Korvenlaita✨ | AI-assisted journalingdata professionals+3 | Richard MakaraNiko Korvenlaita | S04E03reconfigured+4 | — | journalingdata work+3 | — | 54m 38s | |
| 3/31/25 | ![]() S04E02 - Programming with AI - with Simon Willison✨ | AIdata journalism+2 | Simon Willison | DatasetteSQLite+6 | — | DatasetteSQLite+2 | — | 50m 01s | |
| 3/3/25 | ![]() S04E01 - Meaningful uses of AI - with Scott Hanselman✨ | AIprogramming+2 | Scott Hanselman | .NETOpen Source+7 | PortlandOregon | Microsoft.NET+3 | — | 42m 55s | |
| 2/17/25 | ![]() Season 3 finale - The Well-Grounded Data Analyst - with David Asboth✨ | data analysisdata skills+2 | David Asboth | The Well-Grounded Data Analyst | — | data skill gaplearning+1 | — | 49m 40s | |
| 5/22/24 | ![]() S03E10 - Data science needs you! - with Andrea Jones-Rooy✨ | data sciencedata literacy+2 | Andrea Jones-Rooy | Solve Any Data Analysis ProblemManning+3 | — | data analysisdata skills+1 | — | 59m 53s | |
| 4/21/24 | ![]() S03E09 - Statistical rethinking - with Richard McElreath✨ | Statistical RethinkingBayesian statistics+2 | Richard McElreath | Solve Any Data Analysis ProblemManning's Early Access Program+2 | LeipzigGermany | culturehuman evolution+3 | — | 1h 05m 22s | |
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| 3/11/24 | ![]() S03E08 - The market view of data education - with Richie Cotton✨ | data educationdata science+1 | Richie Cotton | Solve Any Data Analysis ProblemDataCamp+4 | — | data analysisDataCamp+2 | — | 46m 30s | |
| 12/19/23 | ![]() S03E07 - The power of data storytelling - with Kat Greenbrook | A reminder that David's book Solve Any Data Analysis Problem is available in Manning's Early Access Program! You can read more about it here: https://www.manning.com/books/solve-any-data-analysis-problem (if it's not on offer when you're there, you can get 35% off with the code au35asb). ----------------------------------------------- In today's episode, we talked to Kat Greenbrook. Kat is a Data Storyteller from Aotearoa, New Zealand. She is a consultant, workshop facilitator, industry speaker, and founder of the data storytelling company Rogue Penguin. With a unique blend of science, business, and design, she empowers data professionals to communicate data effectively through storytelling. Her book, The Data Storyteller's Handbook is out now! You can find Kat and the book at https://www.roguepenguin.co.nz | — | ||||||
| 12/6/23 | ![]() S03E06 - Reimagining data analytics training - with James Cotton | First of all, David's book Solve Any Data Analysis Problem is available in Manning's Early Access Program! You can read more about it here: https://www.manning.com/books/solve-any-data-analysis-problem (if it's not on offer when you're there, you can get 35% off with the code au35asb). ----------------------------------------------- In this episode, we talked to James Cotton, co-founder of iO-Sphere. Canadian originally, James has been working in the UK for the last 10 years, always in analytics, pricing, and data science. After a short stint in insurance he was at hotels.com for 3.5 years always working in customer analytics and marketing analytics. He then went to worldremit – a large uk fintech company that’s sort of like a digital western union. There he built out a team, growing it significantly. Over the past 7 or 8 years he’s hired dozens and dozens of data professionals of all levels – clearly seeing the gap between existing data training programmes and courses and the real need in industry. James is one of the founders of iO-Sphere, which was created in order to close that gap with actually useful, practical, training. They also fund all the training of everyone that comes onto the programme – helping to lower financial barriers to accessing high quality training and these careers. We talked to James about the skill gap between training and the real world, why no one has thought to close that gap in the way io-Sphere have, whether standardisation makes sense for the analytics industry, and of course where AI fits into all this. Find out more about iO-Sphere here: https://io-sphere.io You can find James on LinkedIn: https://www.linkedin.com/in/jccotton | — | ||||||
| 10/11/23 | ![]() S03E05 - Code quality for data science - with Laszlo Sragner | In this episode, we continued our season of talking to data educators and spoke to Laszlo Sragner. Laszlo runs Hypergolic, a boutique consultancy in London specialising in Machine Learning Product Management. Formerly, he was Head of Data Science at Arkera, a fintech startup in London, where he built market intelligence products with Natural Language Processing for Tier 1 investment banks and hedge funds. Before that, Laszlo worked in mobile gaming for King Digital (makers of Candy Crush), specialising in player behaviour and monetisation. He started his career as a quant researcher implementing trading strategies at multiple investment managers. We talked to Laszlo about consulting in the area of machine learning, what data scientists can learn from software engineers, how to upskill data scientists to be better programmers and make programming their craft, and of course how AI tools will impact all of this. You can find Laszlo online: On LinkedIn: https://www.linkedin.com/in/laszlosragner In the Code Quality 4 Data Science community: https://cq4ds.com Laszlo's company, Hypergolic: https://hypergolic.co.uk Laszlo's newsletter, "Deliberate Machine Learning": https://laszlo.substack.com | — | ||||||
| 9/17/23 | ![]() S03E04 - The language of data literacy - with Valerie Logan | Continuing our series of conversations with data educators, in this episode we spoke to Valerie Logan. Founding The Data Lodge in 2019, Valerie is as committed to data literacy as it gets. She believes that in today's digital society, data literacy is not just a work skill- it's a life skill. With advisory services, train-the-trainer bootcamps, an extensive resource library and community services at The Data Lodge, Valerie is certifying the world’s first Data Literacy Program Leads across commercial, nonprofit and public sectors. In 2022, The Data Lodge was recognized by CDO Magazine as one of the "Top 25 Data Startups to Watch in 2022". Valerie has more than 28 years of experience, including two decades of global consulting across industries, and five years of applied experience in the telecommunications industry at both field and enterprise levels. She holds a B.S. in Math from SUNY College at Buffalo and an M.S. in Applied Math with a concentration in Operations Research from New Mexico State. We talked to Valerie about how literacy in data is like literacy in any language, how to spread data literacy effectively in a business, what are some obstacles to doing this, how you measure the success of a data literacy program, and of course the effect of the emergence of AI on all of the above. Valerie even made a custom Scrabble board just for this episode, you can see that on our website halfstackdatascience.com If you enjoy our podcast, please consider rating and reviewing it on Apple, Spotify, or wherever you listen to podcasts. | — | ||||||
| 8/31/23 | ![]() S03E03 - Effective Python teaching - with Matt Harrison | In this episode of Half Stack Data Science we continue our season 3 all about data science education, with a conversation with Matt Harrison. Matt stands as a prominent figure in the Python and data science community. A Stanford Computer Science alumnus, he's made significant contributions through his best-selling books, which include titles like "Effective Pandas", "Effective XGBoost", "Machine Learning Pocket Reference", and "Illustrated Guide to Learning Python 3." Beyond authorship, Matt has shared his expertise at major corporations such as Netflix and NASA, as well as academic institutions like Stanford, the University of Utah, and BYU. With a Python journey beginning in 2000, he's equipped thousands with vital skills, both online and in-person. He runs MetaSnake, a Python and Data training company. We talked to Matt about the pushback he gets whenever he posts code online, what we all think of Excel’s newly announced Python integration, how ChatGPT has affected our work, and whether cooking is a good metaphor for programming. | — | ||||||
| 8/9/23 | ![]() S03E02 - The joy of teaching Python - with Reuven Lerner | In this episode of Half Stack Data Science we continue our season 3, all about data science education, with a conversation with Reuven Lerner. Reuven is a full-time Python trainer with a bachelor's degree in computer science and engineering from MIT, and a PhD in learning sciences from Northwestern University. In 2020, Reuven published "Python Workout" a collection of Python exercises with extensive explanations, published by Manning. He's currently working on "Pandas workout" a similar collection of exercises using the "pandas" library for data analytics. Reuven's free, weekly "Better developers" newsletter, about Python and software engineering, is read by more than 30,000 developers around the globe. Reuven's most recent venture is Bamboo Weekly: Every Wednesday, he presents a problem based on current events, using a public data set. And every Thursday, he shared detailed solutions to those problems using Pandas. We spoke to Reuven about his love of teaching Python to beginners, what he thinks of notebooks and ChatGPT as educational tools, and how he got banned for life from advertising on Facebook. | — | ||||||
| 7/27/23 | ![]() S03E01 - Preparing analysts for the real world - with Lisa Carpenter | In this episode, David & Shaun talk to Lisa Carpenter. Lisa is the lead data science instructor at Digital Futures, with responsibility for the design and delivery of the Data Science programme. Prior to transitioning to teaching, Lisa gained over 10 years of experience in the data industry. Lisa is passionate about empowering people through digital skills and thoroughly enjoys seeing students grow their data careers. Among many topics, we discussed how chefs are retraining to be data scientists, why Lisa doesn't like the "let me Google that for you" website, and the present and future of data education. | — | ||||||
| 6/4/23 | ![]() Season 3 Teaser | The Half Stack Data Science podcast is back (again)! Season 3 is coming very soon. In the meantime, listen to our teaser episode where we briefly recap our first 2 seasons and introduce the concept behind season 3; a series of interviews with educators who are bringing data science to the people! | — | ||||||
| 12/22/21 | ![]() Data Science Festival Special: Bridging the Supply-Demand Gap in Data Science | In this episode we bring you our talk from the recent Data Science Festival in London. Our talk was titled "Bridging the data science supply-demand gap" and it was all about topics that will be familiar to listeners. We tackled the question "how is it that there is an abundance of junior data scientists and open data science positions yet the job market is unsatisfactory for both sides"? A huge thank you to Data Science Festival for having us, and for allowing us to share the audio with our audience! | — | ||||||
| 8/18/21 | ![]() AI Today special with Ron Schmelzer and Kathleen Walch | In this special episode we did a podcast host swap with the hosts of the AI Today podcast. Cognilytica's AI Today podcast focuses on relevant information about what's going on today in the world of artificial intelligence. Hosts Kathleen Walch and Ron Schmelzer discuss pressing topics around artificial intelligence with easy to digest content, interview guests and experts on the subject, and cut through the hype and noise to identify what is really happening with adoption and implementation of AI. We spoke to Ron and Kathleen about what they do, their backgrounds, the realities of AI in industry today, and what they learned from years of speaking to various leaders in the field. Please enjoy our conversation with Ron and Kathleen! Be sure to check out their podcast here: https://www.cognilytica.com/aitoday/ | — | ||||||
| 3/2/21 | ![]() S2E4 - Chris Moffitt | In this episode of Half Stack Data Science we continue our series "The Orthogonals" with a conversation with Chris Moffitt. Chris is a Senior Manager Strategic Pricing & Analytics in the medical device industry. He is an active Python user with over 15 years of experience using Python for everything from web development to system administration and most recently data science. He is the author of the popular blog Practical Business Python (pbpython.com) where he describes how to use Python to solve common business problems. We spoke to Chris about how he has used Python to his benefit at work, how the desire for automation is a mindset, and the future of complex machine learning models in the business world. Chris is entirely self-taught when it comes to using Python and you'll hear him reflect on this when he says "There's no way to learn programming outside of programming". | — | ||||||
| 12/19/20 | ![]() S2E3 - Joana Wang | In this episode of "the orthogonals" we spoke to Joana Wang. Joana is a data aficionado with a passion for education. Her ambition is to help people demystify the world of data and make analytics second nature while having fun. Having worked both in strategy consulting and industry, she's had projects across retail & wholesale, supply chain and financial services. In her last 8 years of experience, she's spent most of her time doing financial modelling, building bespoke data analytics products and wrangling data - a lot of it! This has required her to not only be able to technically develop solutions but also understand the wider business context and relate to people's needs, which she tries to embed in her teaching style. We spoke with Joana about a variety of topics including how to incorporate data science into the business world, the state of data science education, what skills you need to be a data scientist and which of those skills are easier to teach or can even be taught at all. To give you a teaser, she summarised this beautifully when she said "No amount of code is going to tell you how to think". | — | ||||||
| 8/16/20 | ![]() S2E2 - Peter Ellis | In episode 2 of "The Orthogonals" Shaun and David spoke to Peter Ellis. Peter is a Director and Chief Data Scientist at Nous Group, an international management consultancy operating in 10 locations across the UK, Australia and Canada. He also writes the Free Range Statistics blog, a great place to see cutting-edge techniques applied to real-world problems, all with reproducible code. But you'll never guess what his undergraduate degree was (hint: requires long fingernails on one hand only!) We spoke about scraping emojis from tweets, why Drew Conway's Venn diagram is still relevant in 2020, and becoming a data scientist to argue with economists. You can find Peter on Twitter @ellis2013nz or on his Free Range Statistics blog. | — | ||||||
| 7/24/20 | ![]() S2E1 - Andrea Jones-Rooy | In the first episode of season 2, "The Orthogonals", Shaun and David speak to Andrea Jones-Rooy. Andrea is a social scientist specializing in complexity. She has written a book and several research papers on complex systems, and regularly contributes articles to media outlets on (you guessed it!) complexity — plus data science, international relations, diversity, and uncertainty. She is also a standup comedian and circus performer. The whole thing is confusing, but basically she’ll do whatever it takes to get people to pay attention to social science & complexity. Andrea earned her Ph.D. in Political Science at the University of Michigan, Ann Arbor. We discussed why you shouldn't do a political science PhD to become a data scientist, how a political science PhD will benefit you in data science if you happen to have one, finishing a PhD thesis in a Thai restaurant, and what skills are missing from most data science courses and what to do about it. | — | ||||||
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Chart Positions
1 placement across 1 market.
Chart Positions
1 placement across 1 market.

