September 2020
Introduction to Python’s NumPy library
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…
SPSS: Variables
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:…
R I: Data Wrangling
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…
SPSS: Data Management
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:…
CoreLogic property data
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…
October 2020
SPSS: Basic Statistical Analysis
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
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
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…
Stata: The Basics of Stata
This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: Section 1: The Basics of Stata…
Stata: Working with Data Sets
This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: Section 1: The Basics of Stata…
Stata: Data Management
This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: Section 1: The Basics of Stata –…
Data Visualization With 3D Graphics Using Unity3D and C#
BlueJeans link will be shared with registered attendees 24 hours before start Video game development is more accessible than ever before thanks to modern software tools, with many options free…
Stata: Data Manipulation
This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: Section 1: The Basics of Stata –…
Integrating AppEEARS and NEON API for efficient data download and analysis
The main goal of this workshop is to expose the participants to the functionalities of two widely used API in earth science and ecology using R programming. The Application for…
November 2020
Advanced Graphics Optimization For Data Visualization In Unity3D
BlueJeans link will be shared with registered attendees 24 hours before start Modern 3D game engines and computer hardware can render convincing graphics, rivaling that of pre-rendered 3D animation. But…
Image Segmentation using Deep Learning with FastAI
This workshop will demonstrate how to perform image segmentation using the FastAI Python library, which is built on the deep learning library PyTorch. Some familiarity with Python is expected, but no previous experience…
Map making in R
The focus of the workshop is twofold: to learn cartography principles for generating single and multivariable choropleth maps, and explore functionalities of R for generating static and interactive web maps.…
December 2020
Introduction to Deep Neural Networks with Keras/TensorFlow
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…