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    • Linear regression analysis in Python

    Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

    This workshop will cover regression analysis using linear models and least squares in Python.  We will discuss the goals and main use-cases for linear regression, and how to interpret a fitted linear model.  We will then discuss methods for fitting more complex models with larger data sets, including the use of interactions, dummy-coding of categorical […]

    Graduate Studies in Computational & Data Sciences Info Session – North Campus

    Johnson Rooms, Lurie Engineering Center, 3rd Floor LEC 3213ABC 1221 Beal Ave., Ann Arbor, MI, United States

    Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided The Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation, computational methods, or algorithms for advanced computer architectures in their studies. It is a joint degree program, with students earning […]

    Introduction to Stata

    Modern Languages Building (MLB), Room 2001A

    Topics: By the end of the workshop, participants will be able to: Work with Stata, including using Do-files and using the help system. Get data into Stata and manage your data files Establish familiarity with your data Clean the data to prepare it for analysis Check for basic errors in the data Generate new variables […]

    Graduate Studies in Computational & Data Sciences Info Session – Central Campus

    Weiser Hall, 10th Floor 500 Church Street, Ann Arbor, MI, United States

    Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided The Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation, computational methods, or algorithms for advanced computer architectures in their studies. It is a joint degree program, with students earning […]

    Regression analysis with Generalized Linear Models in Python

    Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

    This workshop will cover fitting generalized linear models (GLMs) in Python, using the Statsmodels package.  We will cover logistic regression, but the majority of the time we will focus on other GLMs including Poisson, negative binomial, and gamma regression.  We will provide an overview of the underlying foundation for GLMs, focusing on the mean/variance relationship […]

    Introduction to the Linux Command Line

    East Hall B254 530 Church St., Ann Arbor, MI, United States

    This course will familiarize the student with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell, also generically referred to as “the command line”. Topics include: a brief overview of Linux, the Bash shell, navigating the file system, basic commands, shell redirection, permissions, processes, and the command environment. […]

    • Regression Modeling in Stata

    Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

    In this session, we will discuss fitting traditional regression models in Stata, including linear regression, logistic regression, and time-allowing, poisson regression. We'll briefly introduce the theory behind the models, discuss choosing an appropriate model, fitting the model, checking assumptions and some post-hoc analysis. Participants are expected to have some basic familiarity with Stata.

    Statistical Analysis with R

    Modern Languages Building (MLB), Room 2001A

    This is a two day workshop (February 4 and 5) 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 powerful feature of R is the facility for users to extend these procedures to suit their own needs.  Excellent graphing capability […]