Webinar Summary: Data Science Education in Traditional Contexts

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Introduction This post is a summary and reflection on the webinar “Data Science Education in Traditional Contexts”. The webinar was hosted on Aug 28th by the South Big Data Innovation Hub as part of their Keeping Data Science Broad: Bridging the Data Divide series. You can watch the entire webinar here. The webinar consisted of 5 speakers …

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Keeping Data Science Broad-Webinar

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Please join me and other data science program directors for an educational webinar exploring undergraduate programs. Keeping Data Science Broad: Data Science Education in Traditional Contexts | Aug 31, 2017 | Virtual This webinar will highlight data science undergraduate programs that have been implemented at teaching institutions, community colleges, universities, minority-serving institutions, and more. The …

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A Computational Linear Algebra Course

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Within mathematics, Linear Algebra (LA) has held a long-standing importance. Many curriculums used it for decades as the first class in which students encountered proofs (though this has changed in recent years for a significant portion of programs). Many other disciplines like Meteorology, much of engineering, and others require at least some course in basic …

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(Other) Official Curriculum Guides

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Last week I discussed several places from which you could pull curriculum planning materials. This week will continue that theme, but with a bit more of an ‘official’ flavor, by discussing several professional societies’ curricular guides. While there is no (clear) leading data science professional society (and none with curricular guidelines to my knowledge), there …

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Course/Curriculum Resource Sites

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Last week I posted about specific websites you might use to host or pull assignments from. This week I want to take a broader look at overall curriculum design. This is by no means a comprehensive posting of sites that have curriculum available, instead it’s intended to help reduce your search time for this kind …

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Intro to DS Assignment Sites

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As an instructor, I want to provide high-quality assignments that are focused (so they achieve the learning objective), engaging (so they aren’t bored), and well supported (so they don’t end up frustrated). In an ideal world, I’d have time to write, test, debug, and administer all my own, course-tailored assignments that meet these goals. I, …

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Version Control and Reproducible Research/Data Science

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A current hot-topic in research, especially within statistically driven or based research is “reproducible research”. In academia, the process of peer-review publication is meant to assure that any finding are reproducible by other scientists. But those of us in the trenches, and especially on the data-side of things know that is a theoretical outcome (the …

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Math (Courses) for Data Science

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I want to share some thoughts on the math required for a data scientist (or at least, a data science undergraduate degree). The discussion can really be boiled down to one question: “Discrete Mathematics or Calculus 2?” Let’s first take a look at the outcomes from an in-progress and two completed working groups on outlining …

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