This is an overview of how our Research team is working with researchers from different domains to enable research and to help accelerate projects. Outlining the various resources, tools, and…
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data analysis
The Research Data Lifecycle For Health Sciences Researchers
Research data has grown to unprecedented sizes making local storage, efficient data analysis and long-term archiving a significant challenge. In this session we will introduce the stages of the research…
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Introduction to Survival Analysis in R
Survival analysis models time-to-event outcomes. This workshop introduces usage of the survival package in R for some of the most commonly used survival methods. Topics include data setup, Kaplan-Meier estimates…
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Boosting Python for High Performance Data Analytics (1) Interpreter War
While Python becomes the most popular programming language since 2019, data scientists often have a few common complaints about its slow speed and the limited capabilities of handling the big…
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Scientific Visualization with Paraview
Paraview is an open-source cross-platform program for interactive scientific visualization. Paraview can run as a stand-alone visualization tool, as well as in a client-server fashion for remote visualization. In this…
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Retiring Statistical Significance: Interpreting and Reporting P – Values and Confidence Intervals Without Significance Testing
Please REGISTER in advance here. Workshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. The misuse of null hypothesis significance…
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Census Data Analysis and Mapping with Python
Please REGISTER in advance here. Workshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. In this hands on workshop, you will…
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Jupyter Advanced Topics
This short class will illustrate several powerful tools and features that can enhance one’s experience with Jupyter notebooks. The interactive demonstrations will include a brief overview of plotting tools and…
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Using SQL with Python for Data Analysis
SQL is a standard language designed to query and extract data from tables stored in a database. Python, on the other hand, has well-known libraries specially designed for data analysis…
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