***For best viewing experience log in to LinkedIn*** March 10, 2022 – Doug Rose joins us this week for a fascinating talk about ethics in data. What rules do we have, what rules should we have? Why do we have those rules? What happens with too many, what happens with too few? Are morality and…
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***For best viewing experience log in to LinkedIn*** February 24, 2022 – Today we figure out our relationships with math, our own barriers to getting comfortable with numbers, and times when we’ve had to wrestle with statistics. Whether math comes naturally or numbers stress you out, tune in to this one. On Data Fundamentals Unpacked,…
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***For best viewing experience log in to LinkedIn*** December 2, 2021 – Seasonality is the topic at hand, and everyone brings great personal insights to what seasonality is, why it’s important to consider, and how to put it to use when you find those patterns of semipredictable variation. The role of additional factors in shaping…
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***For best viewing experience log in to LinkedIn*** September 16, 2021 – In this episode we took a look at how people use (and don’t use!) tools and how data professionals adapt to changing situations. There’s also some great talk about how we navigate finding which tools are right for which tasks. On Data Fundamentals…
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***For best viewing experience log in to LinkedIn*** July 15, 2021 – Big Data is this episode’s topic. It’s a hot topic, but what’s smoke and what’s fire? Helen Wall joins the team as we explore the implications of the truly enormous data sets that more and more organizations are gaining access to. We also…
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***For best viewing experience log in to LinkedIn*** June 17, 2021 – On this episode of Data Fundamentals unpacked we have a wide-ranging talk on uncertainty in data and uncertainty in the wider world. We also explore how data professionals & the public respond to the uncertainty they encounter. On Data Fundamentals Unpacked, we’re always…
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***For best viewing experience log in to LinkedIn*** May 18, 2021 – On this episode of Data Fundamentals unpacked we have a lively discussion of what data literacy means to different people in different contexts and we go over how people can become more data literate. We also make sure to talk about WHY people…
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