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SparkSQL and DataFrames with PySpark
Apache Spark is a powerful open source processing engine built around speed, ease of use, and sophisticated analytics. Industry has quickly adopted Spark and deployed it at scale for processing…
Data Processing in Python using Pandas
This workshop will introduce participants to Python’s Pandas. We’ll start with a brief explanation of Anaconda and the Jupyter notebook environment (although not required for the participant, the instructor will…
Easy Bayes with rstanarm and brms
This talk will demonstrate how to turn some standard analyses into Bayesian extensions with the rstanarm and brms packages. Basic regression and mixed models will serve as the basis for demonstrating…
Matching with R
An introduction to matching, such as propensity score matching, using R's "optmatch" package. Matching is used to improve balance between groups, typically in observational studies, by creating quasi-experimental strata of similar individuals. We…
Web Scraping with Python
This workshop will provide an overview of how to scrape data from html pages and website APIs using Python. This will mostly be accomplished using the Python requests, beautifulsoup, retry…
Mixed Models and Latent Growth Curves
This talk will compare two common approaches to dealing with longitudinal data, mixed models* and latent growth curves (LGC)*. While mixed models can be understood from a standard regression modeling…
Spatial point process models
Spatial point (and marked point) process models help us analyze the geometrical pattern of points in space and find application in a variety of fields including image processing, public health,…
An Introduction to MATLAB
This workshop introduces participants to MATLAB. Topics include indexing and slicing of vectors and matrices, creation of script M-files and functions, control flow operators and basic 2D and 3D visualization.…
Introduction to Survey Design: Data Collection, Questionnaire Design and Response Processes
This lecture-format workshop will present an overview of available modes and methods of survey data collection as well as an introduction to the survey response process and implications for questionnaire…
Statistical Analysis with R
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…
