Carrie Wright

Carrie Wright is a Research Associate in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health (JHSPH). Dr. Wright is a member of the Johns Hopkins Data Science Lab (DaSL) and the Open Case Studies team, where her work focuses on creating data science education materials for a variety of audiences. Prior to joining the JHSPH, Dr. Wright was a Postdoctoral Fellow at the Lieber Institute for Brain Development (LIBD), where her research focused on uncovering genetic mechanisms in psychiatric disease through the utilization of data science tools. At LIBD, Dr. Wright cofounded the LIBD rstats club, a community designed to encourage others to learn more about R programming and statistics. Dr. Wright has also served as an instructor for the Baltimore Underground Science Space and the Johns Hopkins Center for Talented Youth.

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Computing for Cancer Informatics (Coursera)

Jun 20th 2022
Computing for Cancer Informatics (Coursera)
Course Auditing
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One of the key cancer informatics challenges is dealing with and managing the explosion of large data from multiple sources that are often too large to work with on typical personal computers. This course is designed to help researchers and investigators to understand the basics of computing and to [...]

Leadership for Cancer Informatics Research (Coursera)

Jun 20th 2022
Leadership for Cancer Informatics Research (Coursera)
Free Course
Categories
Effort
Languages
Informatics research often requires multidisciplinary teams. This requires more flexibility to communicate with team members with distinct backgrounds. Furthermore, team members often have different research and career goals. This can present unique challenges in making sure that everyone is on the same page and cohesively working together. This course [...]

Modeling Data in the Tidyverse (Coursera)

Developing insights about your organization, business, or research project depends on effective modeling and analysis of the data you collect. Building effective models requires understanding the different types of questions you can ask and how to map those questions to your data. Different modeling approaches can be chosen to [...]

Visualizing Data in the Tidyverse (Coursera)

Data visualization is a critical part of any data science project. Once data have been imported and wrangled into place, visualizing your data can help you get a handle on what’s going on in the data set. Similarly, once you’ve completed your analysis and are ready to present your [...]

Wrangling Data in the Tidyverse (Coursera)

Data never arrive in the condition that you need them in order to do effective data analysis. Data need to be re-shaped, re-arranged, and re-formatted, so that they can be visualized or be inputted into a machine learning algorithm. This course addresses the problem of wrangling your data so [...]

Importing Data in the Tidyverse (Coursera)

Getting data into your statistical analysis system can be one of the most challenging parts of any data science project. Data must be imported and harmonized into a coherent format before any insights can be obtained. You will learn how to get data into R from commonly used formats [...]

Introduction to the Tidyverse (Coursera)

This course introduces a powerful set of data science tools known as the Tidyverse. The Tidyverse has revolutionized the way in which data scientists do almost every aspect of their job. We will cover the simple idea of "tidy data" and how this idea serves to organize data for [...]