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The official Jupyter Conference
Aug 21-22, 2018: Training
Aug 22-24, 2018: Tutorials & Conference
New York, NY

TBD

Wednesday, 08/22/2018

1:30pm

Advanced data science, part 1: Data visualization in Jupyter using Matplotlib and Seaborn
1:30pm–3:00pm Wednesday, 08/22/2018
Data visualization, Reproducible research and open science, Training and education
 Location: Murray Hill B Level: Intermediate
Bruno Goncalves (Data For Science)
Average rating: ****.
(4.00, 2 ratings)
Bruno Gonçalves offers an overview of the fundamental concepts and ideas behind human visual perception and explains how it informs scientific data visualization. To illustrate these concepts, Bruno shares practical examples using matplotlib and seaborn. Read more.

3:30pm

Advanced data science, part 2: Five ways to handle missing data in Jupyter notebooks
3:30pm–5:00pm Wednesday, 08/22/2018
Reproducible research and open science, Training and education, Usage and application
 Location: Murray Hill B Level: Beginner
Matt Brems (General Assembly)
Average rating: *****
(5.00, 2 ratings)
Missing data plagues nearly every data science problem. Often, people just drop or ignore missing data. However, this usually ends up with bad results. Matt Brems explains how bad dropping or ignoring missing data can be and teaches you how to handle missing data the right way by leveraging Jupyter notebooks to properly reweight or impute your data. Read more.