Events

  • SPSS: Data Management

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    Each section will go over one chapter from the materials at https://cscar.github.io/workshop-spss/ Section 1: Basics of SPSS (9/16, 10am - 12pm) Section 2: Variables (9/23, 10am - 12pm) Section 3: […]

    Advanced research computing on the Great Lakes Cluster

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    OVERVIEW This workshop will cover some more advanced topics in computing on the U-M Great Lakes Cluster. Topics to be covered include a review of common parallel programming models and […]

    CoreLogic property data

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    The University of Michigan library system has licensed a large data set containing real estate transactions, deeds, and property tax records for the United States.  The data were collected by […]

  • Intermediate SQL

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    This workshop is a continuation of the Intro to SQL class.  We’ll cover how to create a table schema, how to insert data into tables and some more intermediate SQL […]

    SPSS: Basic Statistical Analysis

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    Each section will go over one chapter from the materials at https://cscar.github.io/workshop-spss/ Section 1: Basics of SPSS (9/16, 10am - 12pm) Section 2: Variables (9/23, 10am - 12pm) Section 3: […]

    GIS with R

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    This workshop will expose participants to GIS functionalities in R. We will cover vector and raster data representation, vector geometric operations, coordinate representation, combined raster and vector operations in R. The workshop […]

    Introduction to Deep Neural Networks with Keras/TensorFlow

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    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, including the popular library TensorFlow. In this workshop, participants will learn […]

    R Series II: Programming

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    People using R for applied research are often not taught basic programming practices such as writing functions, efficient iterative processing, vectorization, and other practices that would make their research far […]