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February 2020

Introduction to Stata

February 21 @ 9:30 am - 4:00 pm

Audience: Those who have never used Stata before but wish to learn. By the end of the workshop, participants will be able to: Work with Stata, including using Do-files and…

Multilevel models in Python

February 24 @ 3:00 pm - 5:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

Multilevel modeling is the state-of-the-art approach for handling data with complex dependence structure in a regression analysis.  This workshop will discuss fitting multilevel models in Python using the Statsmodels package.…

Building software projects with Make: beyond basics

February 26 @ 10:00 am - 12:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

In this workshop we will use Make to manage build dependency in a multi-file, multi-language software project.  We will learn how to use Make functions, automatically generate dependencies, and inquire…

R III: Modeling

February 28 @ 1:00 pm - 4:00 pm

This workshop will be heavy on conceptual understanding of basic regression modeling, but with demonstration of activities both essential and tangential to good modeling practice. GLM, model interpretation, model comparison,…

March 2020

Introduction to Python’s NumPy library

March 3 @ 10:00 am - 2:00 pm

This workshop will introduce you to the NumPy library in Python, which is useful in scientific computing. We will cover NumPy’s n-dimensional array object and associated functions in depth, along…

Visualization of spatial data

March 5 @ 2:00 pm - 5:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

This workshop will cover basic concepts and tools available in QGIS and R for visualizing spatial data. We will cover vector data but will also touch upon the visualization of…

R by Example: Functional Programming with data.table

March 6 @ 2:30 pm - 4:00 pm

In the R by Example series of workshops, we’ll discuss example analyses in R as a vehicle for learning  commonly used tools and programming patterns. The “Functional Programming with dplyr” workshop…

Survival analysis in Python

March 9 @ 3:00 pm - 5:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

Survival analysis is used when working with data that may be censored, as often is the case in studies of human subjects with incomplete follow-up.  The presence of censoring makes…

Introduction to SAS: Simple Inference Procedures

March 10 @ 8:30 am - 3:30 pm

Prerequisites: Participant should have some familiarity with introductory statistics and be able to load data into and perform basic data manipulations in SAS. In this one-day, six-hour workshop we will…

Building software projects: Use CMake to build the building plan!

March 11 @ 10:00 am - 12:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

This workshop is a continuation of the previous workshop “Building software projects with Make”. Make helps us to express dependencies within our projects, but what about external dependencies? Also, writing…

Regular Expressions

March 13 @ 2:00 pm - 4:30 pm

Regular expressions are perfectly suited for people who like puzzles. Regular expressions are a sequence of characters used to define a search pattern. They are commonly used to do “find”…

Go for data processing Part 1

March 16 @ 3:00 pm - 5:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

This is a two-session workshop on the use of Go for data processing.  Go is an open source language developed for general-purpose programming.  It is not more difficult to learn…

Machine Learning in R

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

In this workshop, we’ll first discuss core machine learning concepts such as: choosing loss functions and evaluation metrics; splitting the data into training, validation, and testing sets; and cross-validation patterns…

Go for data processing Part 2

March 23 @ 3:00 pm - 5:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

This is a two-session workshop on the use of Go for data processing.  Go is an open source language developed for general-purpose programming.  It is not more difficult to learn…

Introduction to Deep Neural Networks with Keras/TensorFlow

March 24 @ 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…

Building software projects: CMake is more than a build tool

March 25 @ 10:00 am - 12:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

This workshop is a continuation of the previous workshop “Building software projects: use CMake to build the building plan”.  In this workshop, we will see that CMake is not just…

April 2020

GIS analysis in R

April 2 @ 2:00 pm - 5:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

R is a popular open source programming environment for statistics and data science. However, it is has also gradually become very powerful for GIS and spatial data science. This workshop…

Mediation analysis in Python

April 6 @ 3:00 pm - 5:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

Mediation analysis is a set of tools for exploring hypotheses about causal pathways, with a special focus on differentiating “direct” from “mediated” associations between an exposure and an outcome.  Many…

Statistical analysis with missing data in Python

April 13 @ 3:00 pm - 5:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

Missing data arise in many fields of research, and a large body of statistical tools has been developed to facilitate statistical analysis in the presence of missing data.  Here we…