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May 2017

Multiple imputation and missing data methods in Python

May 25 @ 2:00 pm - 4:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

Multiple Imputation via Chained Equations (MICE) is a convenient and flexible approach to conducting statistical analysis with complex patterns of missing data.  In this workshop, we will review the key…

Advanced batch computing on the Flux cluster

May 31 @ 1:00 pm - 5:00 pm
Location: East Hall B254, 530 Church St.
Ann Arbor, MI 48109 United States

Overview This course will cover some more advanced topics in cluster computing on the U-M Flux Cluster. Topics to be covered include a review of common parallel programming models and…

June 2017

Mediation analysis in Python

June 1 @ 2:00 pm - 4:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

Mediation analysis is a way to probe mechanistic hypotheses using data.  It takes a step beyond standard regression analysis, by considering whether certain independent variables may mediate the effects of…

Dimension Reduction Techniques

June 6 @ 2:00 pm - 4:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

This workshop will provide an overview of commonly used dimension reduction techniques such as principle components analysis (PCA), multi-dimensional scaling (MDS), and factor analysis. The focus will be on concepts…

Data Processing and Visualization in Python (Repeat)

June 7 @ 10:00 am - 12:00 pm

This workshop will delve into common data processing and exploration techniques. We will use NumPy, Matplotlib and Pandas to perform data exploration in Python. Among others, we’ll demonstrate how to…

Data Visualization, Analysis and Modeling with JMP Pro

June 8 @ 1:00 pm - 4:00 pm
Presenters: Mia Stephens, JMP Academic Programs

JMP is an easy-to-use, standalone statistics and graphics software from SAS Institute.  It includes comprehensive capabilities for every academic field, and its interactive point-and-click interface and linked analyses and graphics…

Generalized estimating equations (GEE) in Python

June 14 @ 2:00 pm - 4:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

Generalized Estimating Equations (GEE) is a family of regression methods that can be used for analyzing various types of structured or dependent data (e.g. clustered data or longitudinal data). Many…

Web Scraping with Python

June 20 @ 12:00 pm - 2:00 pm

This workshop will provide an overview of how to scrape data from html pages and website APIs using Python. This will mostly be accomplished using the Python requests, beautifulsoup, retry…

GIS and point-pattern analysis

June 26 @ 1:00 pm - 4:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

This is the first workshop in a series of three workshops that will cover spatial modeling of three broad classes of data: (i) spatial point pattern, (ii) discrete spatial variation…

Interactive data visualization using Bokeh in Python

June 27 @ 11:00 am - 2:00 pm

Come learn how to make interactive data visualization using Bokeh in Python. Bokeh was designed to help people quickly and easily create interactive plots, dashboards and data applications. We’ll cover…