Data-on-the-Mind/2017-summer-workshop

Exercises, data, and more for our 2017 summer workshop (funded by the Estes Fund and in partnership with Project Jupyter and Berkeley's D-Lab)

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This workshop provides hands-on introductions for cognitive scientists and psychologists who want to apply their theoretical knowledge to 'big data' and naturally occurring datasets (NODS). It takes your existing research questions and beginner-level R/Python skills and provides practical tutorials, code, and exercises to analyze real-world human behavioral and cognitive data. This is for graduate students and postdoctoral researchers in cognitive science and psychology.

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Use this if you are a cognitive scientist or psychologist trained in lab-based studies and want to explore your research questions using larger, messier, real-world datasets.

Not ideal if you are looking for an introduction to basic programming in R or Python, as this workshop assumes you already have beginner-level proficiency.

cognitive-science psychology-research behavioral-data-analysis natural-settings-data theory-driven-research
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Mar 21, 2019

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