Here's a summary of the evening’s program:
Henri Dwyer will talk about how data scientists go to the raw data to impactful predictions. He will guide the audience through analyzing real educational data, taken from Ryan Baker's MOOC: Big Data in Education. Ryan Baker was a previous speaker and if you want to have some hands on experience about the data he talked about, this meetup is for you.
The goal of this talk is to show how data scientists go from the data to actually gaining insights and making predictions, and to teach you how to do it.
First, Henri Dwyer will lay down the foundations and data science concepts necessary to understand the analysis.
Next, he will construct data science workflows using Python and Data Science Studio to analyze data ranging from detecting students that are gaming the system, to identifying sequences of student events and how they affect behavior.
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