Stephanie Hicks

Stephanie Hicks is an Assistant Professor in the Department of Biostatistics (https://www.jhsph.edu/departments/biostatistics/) at the Johns Hopkins Bloomberg School of Public Health (https://www.jhsph.edu). Her research interests focus around developing statistical methods, tools and software for the analysis of genomics data. She teaches courses for data science and the analysis of genomics data. She is also a faculty member of the Johns Hopkins Data Science Lab (https://jhudatascience.org), co-host of The Corresponding Author (https://twitter.com/CorrespondAuth) podcast and co-founder of R-Ladies Baltimore (https://rladies-baltimore.github.io). For more information, please see http://www.stephaniehicks.com

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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 [...]