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Learn how data science done in wild. Focus on data acquisition, cleaning, aggregation, analysis, visualization. With Trent Hauck (Sr Data Scientist @ Zymergen). Jan 22 to Mar 01; Mon/Thu 9:30pm.
Monday, January 22, 2018 at 06:30 PM   Not Known
Venue, Online
 
     
 
 
              

            
 
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In this course, students learn how data science is done in the wild, with a focus on data acquisition, cleaning, & aggregation, exploratory data analysis & visualization, feature engineering, & model creation & validation. Students use the Python scientific stack to work through real-world examples that illustrate these concepts. Concurrently, students learn some of the statistical & mathematical foundations that power the data-scientific approach to problem solving.
 
 
 
 
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