课程: Lessons from Data Scientists
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Understanding the data you work with
- Typically, when you think of data scientists, you imagine a person taking this beautiful, complete dataset, creating models, and outputting some kind of prediction or a model that will be useful to the stakeholder. A lot of times, that actually isn't the case. In fact, in my 10 years of working with large and different types of datasets, I've never come across one that didn't need some kind of cleaning, or at least some deep exploration into what it may contain that could be problematic. And so a majority of my time is either spent cleaning up data, deep diving into, is this a complete dataset? What might be wrong with this dataset? What might this dataset be missing that might be important to have, or that might be important to have to answer a specific question? And then also on the other side of that, spending a significant amount of time, actually spot-checking the resulting either outputs of the data or the…
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Career journey with Lacey Westphal, PhD1 分钟 23 秒
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How data can change education4 分钟 3 秒
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Understanding the data you work with1 分钟 19 秒
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Challenges of working in non-profit1 分钟 17 秒
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Creating positive change with data1 分钟 52 秒
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Pressures data scientists face1 分钟 9 秒
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Impacts of data science on social justice2 分钟 45 秒
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What to do if you're interested in data science50 秒
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