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May 2018

Statistical Analysis with R

May 22 @ 8:30 am - 3:30 pm
|Recurring Event (See all)
May 21 & May 22, 2018
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 (May 21 & 22) in R which  is a free and open source environment for data analysis and statistical computing.  While R contains many…

Stata 1: Introduction to Stata

May 23 @ 9:00 am - 4:30 pm

Note: Topics are subject to change. Topics: Basics – Interfacing with Stata, Do-files, getting help. Working with Data Sets – Importing, opening, and saving data files. Data Management – Getting…

Geospatial analysis with Google Earth Engine

May 24 @ 2:00 pm - 5:00 pm

Google Earth Engine (GEE) combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. This workshop will provide an introduction to GEE. We will cover data…

Stata 2: Statistical Modeling in Stata

May 29 @ 9:00 am - 4:30 pm
Presenters: Josh Errrickson is a statistical consultant at CSCAR.

This workshop is aimed at participants with some basic knowledge of Stata (e.g having taken Stata 1), and covers statistical analyses and graphing tools within Stata. Topics include descriptive statistics, t-tests, regression, mixed models, multiple…

Introduction to R Markdown

May 30 @ 3:00 pm - 5:00 pm

This workshop will introduce participants to the basics of R Markdown. After an introduction to concepts related to reproducible programming and research, demonstrations of standard markdown as well as overviews…

Introduction to SPSS

May 31 @ 9:00 am - 4:30 pm
Presenters: Corey Powell, CSCAR

Audience: Never before SPSS users who will be using SPSS for Windows.  Those using SPSS for Unix or Macintosh should email the instructor at cpow@umich.edu before enrolling. Note: Topic order is subject…

June 2018

Introduction to Deep Neural Networks with Keras/Tensorflow

June 11 @ 10:00 am - 12:00 pm

Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. Keras is a high-level, Python interface running on top of multiple neural network libraries,…

Classification, Regression and Model Selection using Python’s Scikit-learn

June 15 @ 2:00 pm - 4:45 pm

This workshop will introduce participants to machine learning in Python. We’ll start with a brief explanation of Anaconda and the Jupyter notebook environment (although not required for the participant, the…

Web Scraping with Python

June 19 @ 9:30 am - 12:00 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…

Spatial point process models

June 22 @ 1:00 pm - 4:30 pm

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…