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March 2017

Introduction to SAS

March 27 @ 1:00 pm - 4:30 pm

NOTE: This workshop is 6-half day sessions. Participants must sign up for the all sessions. Note: Topic order is subject to change. Fundamentals: This portion introduces SAS for Windows environment, creating…

Data Processing and Visualization in R

March 29 @ 2:00 pm - 4:00 pm

This talk will delve into common data processing and exploration techniques, especially as a prelude to visualization.  The main focus will be on packages that enhance and facilitate the sorts…


Data Science with Social Science data: An introduction to Pandas and StatsModels in Python

March 30 @ 2:00 pm - 4:00 pm

This workshop introduces participants to Python’s NumPy, Pandas DataFrames, Matplotlib and StatsModels using an advertising dataset. Participants will use these tools to model (OLS) associations between advertising expenditures and product…

April 2017

Data Science with Social Science data: building predictive models using Python’s Scikit-learn

April 6 @ 2:00 pm - 4:00 pm

We will use Python’s Pandas DataFrames, Matplotlib and Scikit-learn to analyze census data. Participants will use Scikit-learn tools to predict whether income exceeds a particular dollar amount based on the census data. This workshop covers…

Introductory GIS

April 11 @ 2:00 pm - 5:00 pm

This workshop will cover introductory GIS concepts, tools, and techniques. We will use ArcGIS (and QGIS) and learn basics of GIS by solving  specific problems.  You will also learn to…

Generalized Additive Models

April 12 @ 2:00 pm - 4:00 pm
Presenters: Michael Clark

This workshop will introduce participants to generalized additive models (GAM) as a means to extend their efforts beyond the usual glm setting.  In addition, extensions and connections to other models…

Create Thematic Maps with Python

April 19 @ 11:00 am - 1:00 pm

Everybody loves maps. Learn how to create thematic maps in Python using matplotlib for export for use in reports and publications. We’ll cover how to produce the most common thematic…

CANCELLED: Spatiotemporal analysis with remotely sensed solar-induced chlorophyll fluorescence (SIF)

April 19 @ 1:00 pm - 5:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

Recent innovations have made it possible to sense solar-induced chlorophyll fluorescence from satellites and currently at least three SIF retrievals are available: from GOSAT, GOME-2 (MetOp-A and MetOp-B), and OCO-2.…

Supervised Machine Learning: Random Forests and Support Vector Machines

April 19 @ 2:00 pm - 4:00 pm

This workshop will introduce participants to Random Forests (RFs) and Support Vector Machines (SVMs) using Python’s Scikit-learn library. We’ll introduce fundamental concepts related to machine learning (ML) and both RFs…

Statistical Analysis with R

April 27 @ 8:30 am - 3:30 pm
|Recurring Event (See all)
Once on April 27, 2017
Presenters: Chris Andrews is a statistical consultant at CSCAR and statistician in the UM Department of Ophthalmology and Visual Sciences. Formerly he was Research Assistant Professor at the State University of New York, University at Buffalo. He currently is the lead statistician for the Northeast Region Biostatistics Core of the Women’s Health Initiative and has additional experience as a statistical consultant for Roswell Park Cancer Institute.

This is a two day workshop in R which  is a free and open source environment for data analysis and statistical computing.  While R contains many built-in statistical procedures, a…