Events

  • Introduction to Deep Neural Networks with Keras/TensorFlow

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    A BlueJeans link will be sent to all registered participants. 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 how to quickly use the Keras interface to perform nonlinear regression and classification with standard fully-connected DNNs, as well […]

    Building Better Data-Driven Products

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    This workshop will introduce participants to using R for presenting data-driven results, with an eye toward reproducible methods. After an introduction to concepts related to reproducible programming and research, demonstrations of standard R markdown as well as overviews of different formats will be provided, including exercises. Prereq:  Some basic experience using R is required. Link: http://m-clark.github.io/data-processing-and-visualization/  

  • Introduction to QGIS

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    This workshop will provide a gentle introduction to GIS concepts and implementation in QGIS. We will cover introductory GIS concepts and will explore the functionalities of QGIS for manipulating and analyzing vector GIS data. The workshop will be especially useful for participants with little or no exposure to GIS. Participants will also learn to generate production quality maps.  No […]

    Introduction to Python’s NumPy library

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    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 with related linear algebra and random number capabilities. Some familiarity with Python is expected. The workshop will be done online via BlueJeans. We will run […]

    SPSS: Variables

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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: Data Management (9/30, 10am - 12pm) Section 4: Basic Statistical Analysis (10/7, 10am - 12pm) It is strongly encouraged to have SPSS installed on your […]

    R I: Data Wrangling

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    This workshop will delve into common data processing and exploration techniques using R. The main focus will be on constructing and manipulating R data objects, and using packages that enhance and facilitate operations that typically arise when dealing with data, including faster I/O, variable creation and manipulation, and grouped operations, especially as a prelude to […]

    Intro to SQL

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    Ever want to know how to communicate with a database? You need to know SQL, a standard programming language for working with relational database management systems in data warehouses or just Microsoft Access. This workshop will cover the basic syntax of SQL. Material will focus mainly on how to query databases. A web-based tool will […]

    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: Data Management (9/30, 10am - 12pm) Section 4: Basic Statistical Analysis (10/7, 10am - 12pm) It is strongly encouraged to have SPSS installed on your […]

    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 the commercial vendor CoreLogic, and our license allows UM researchers to use the data for research purposes.  These data are of potential interest to researchers […]

  • 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 syntax. Attendees should already know basic SQL syntax like JOIN, WHERE, BETWEEN, GROUP BY, HAVING etc. A web-based tool will be used for the tutorial.