GOTO 2020 • Data Science for Everyone with ISLE • Rebecca Nugent

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This presentation was recorded at GOTO Chicago 2020. #GOTOcon #GOTOchgo

Rebecca Nugent - Professor of Statistics & Data Science

Data Science for Everyone with ISLE: Leveraging Web Technologies to Increase Data Acumen

Much of the first wave of Data Science programs was built on a foundation of already existing computing-oriented classes; less effort was spent on how people from diverse backgrounds and disciplines approach or could optimally collaborate on solving problems using data. At Carnegie Mellon, the Department of Statistics & Data Science teaches thousands of students with future degrees ranging from Pre-Med to Rhetoric to Chemistry to Business to Statistics & Machine Learning and partners with a wide range of industries and non-profits on data-centric problems of varying complexity. While the term “data science” is often associated with the need for high level technical skills and specific programming languages, in our experience, the struggle to fully leverage and incorporate data science is far more related to understanding how to think and talk about data, interpret data, make decisions with data - that is, data literacy and data acumen.
To empower a broader audience of savvy data consumers, our research group developed ISLE (Interactive Statistics Learning Environment), an interactive platform with delivered functionality enabling students and professionals engaged in re-training or upskilling to easily explore Statistics & Data Science concepts through both self-directed, asynchronous materials or instructor-led, synchronous lessons [...]

00:00 Intro
02:37 Interacting with data science
04:46 Early definitions
08:11 Data science, a view
10:18 The science of data science
25:48 Carnegie Mellon University
27:47 Integrated statistics learning environment (ISLE)
33:03 What are we learning/researching?
36:38 Takeaways

Download slides and read the full abstract here:
#DataScience #AI #ML #ArtificialIntelligence #MachineLearning #Programming #ISLE #DataAcumen

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