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🎙️ Mastering Data Literacy with Matt Cowell, CEO of QuantHub, now with InRule {Replay} 🎧

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Content provided by IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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In this special replay episode of Making Data Simple, Al Martin sits down with Matt Cowell, CEO of QuantHub, to dive deep into data literacy, upskilling, and solving learning challenges. Matt shares his expertise on defining data fluency, the best ways to learn, and how organizations can close the data skill gap. From client use cases to leadership insights, this episode is packed with valuable takeaways for businesses and individuals navigating the data-driven world.

Show Notes & Chapter Markers:

2:25 – From SVP of Products to Data Learning Business
📊 3:48 – Defining Data Literacy
🎓 5:50 – Teaching the Products
🚧 7:36 – What’s Out of Scope?
🏢 12:50 – Client Use Case
💡 18:07 – Solving Learning Problems
📖 21:14 – What Does a Learning Plan Look Like?
🔍 25:08 – Defining Micro
🧠 30:20 – Best Ways to Learn
📈 33:14 – Measuring Success
💰 34:47 – Venture Capital Funding
🌟 36:10 – Fundamental Leadership Belief
🔑 38:24 – The Most Valuable Leadership Skill

🔗 Connect & Resources:

📩 Want to be a guest?

Reach out to [email protected] and tell us why you should be next!

📢 Hashtags:

#MakingDataSimple #DataLiteracy #Upskilling #AI #BigData #TechPodcast #Leadership #LearnData #QuantHub

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

  continue reading

344 episodes

Artwork
iconShare
 
Manage episode 468554269 series 2715252
Content provided by IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Send us a text

In this special replay episode of Making Data Simple, Al Martin sits down with Matt Cowell, CEO of QuantHub, to dive deep into data literacy, upskilling, and solving learning challenges. Matt shares his expertise on defining data fluency, the best ways to learn, and how organizations can close the data skill gap. From client use cases to leadership insights, this episode is packed with valuable takeaways for businesses and individuals navigating the data-driven world.

Show Notes & Chapter Markers:

2:25 – From SVP of Products to Data Learning Business
📊 3:48 – Defining Data Literacy
🎓 5:50 – Teaching the Products
🚧 7:36 – What’s Out of Scope?
🏢 12:50 – Client Use Case
💡 18:07 – Solving Learning Problems
📖 21:14 – What Does a Learning Plan Look Like?
🔍 25:08 – Defining Micro
🧠 30:20 – Best Ways to Learn
📈 33:14 – Measuring Success
💰 34:47 – Venture Capital Funding
🌟 36:10 – Fundamental Leadership Belief
🔑 38:24 – The Most Valuable Leadership Skill

🔗 Connect & Resources:

📩 Want to be a guest?

Reach out to [email protected] and tell us why you should be next!

📢 Hashtags:

#MakingDataSimple #DataLiteracy #Upskilling #AI #BigData #TechPodcast #Leadership #LearnData #QuantHub

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

  continue reading

344 episodes

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