We live in a world where people are concerned about social media tracking their data—but at the same time, willingly send their DNA to companies like 23andMe.

Why does this happen? What do companies actually do with our data? And how can we, as individuals, become more data-literate to make informed decisions?

In this episode, we sit down with Kathy Rondon, author of “We The People: A Playbook for Data Ethics in a Democratic Society,” data expert and advocate for data literacy.

If you've ever wondered how to take control of your digital footprint, make sense of statistics, or separate fact from fiction in a world full of data, this episode is for you.

• How companies collect and use your data—sometimes in ways you wouldn't expect

• Why do we trust some organizations with our most personal data while fearing others

• The power of statistics and how understanding the basics would help everyone better navigate news, research, and even politics

📚 Be sure to check out Kathy's book: “We The People: A Playbook for Data Ethics in a Democratic Society”

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If you were only going to learn a few statistical techniques as an analyst, where should you focus?

Josh Starmer, Founder of StatQuest, shares how learning these skills can boost your career. We dive into why linear regression is the bedrock for advanced statistical tests like the t-test, and why understanding Principal Component Analysis (PCA) can give you an edge in working with complex datasets.

But it’s not just about the math—we also explore how expanding your skill set beyond the numbers can make you a stronger candidate for promotions and new roles.

From building a diverse portfolio of skills to positioning yourself effectively in quarterly reviews, we discuss strategies to ensure you stand out in your organization and the broader job market.

Whether you’re early in your data career or looking to sharpen your expertise, this episode gives you actionable insights to grow both technically and professionally.

• Core statistical methods every analyst should know, including why linear regression is the foundation for advanced analytics

• How learning tangential skills like Principal Component Analysis (PCA) can set you apart in the field

• Positioning yourself for success in quarterly reviews and career conversations

Be sure to check out Josh’s Illustrated Guide to Machine Learning and his YouTube channel!

Follow Josh on LinkedIn!

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Thinking about transitioning into analytics but worried about starting over?

Andrew Madson has been in your shoes. Once a compliance executive, Andrew successfully pivoted into analytics and now is a Professor of analytics at five universities. In this episode, we dive deep into what it really takes to make a career shift when you’re already successful.

Don't miss this conversation packed with real insights for professionals considering a move into analytics!

• How to handle the fear of leaving a high-paying career for something new

• Why transitioning is different from starting fresh—and how to use your experience as a superpower

• Bootcamp vs. Master’s—what’s worth your time and money?

• The must-have skills and topics when evaluating an analytics education

To hear even more from Andrew, you can check out his YouTube channel

Follow Andrew on LinkedIn!

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

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