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
Coursera
Dive into the world of data science with 'Introduction to the Tidyverse' on Coursera. This course will teach you how to use a suite of powerful tools designed for efficient data analysis and visualization. From understanding tidy data principles to mastering the project life cycle, this course is perfect for beginners looking to start their journey in data science.
Coursera
Discover the essential skills needed to transform raw datasets into a unified format ready for statistical analysis with this comprehensive course on importing data in the Tidyverse. Whether you're working with diverse data sources or need to prepare data for complex analyses, this course will equip you with the tools and techniques necessary to streamline your workflow.
Coursera
Discover how to tame unruly data sets and unlock their potential with 'Wrangling Data in the Tidyverse' on Coursera. This course will teach you to transform disorganized datasets into tidy formats using R's versatile Tidyverse ecosystem, enabling effective visualization and machine learning applications.
Coursera
Discover how to transform raw data into insightful visual stories with 'Visualizing Data in the Tidyverse'. This course, offered by Coursera, will equip you with essential skills for effective data visualization using R's versatile tidyverse package. Whether you're a budding data scientist or an experienced analyst looking to refine your presentation techniques, this course provides a comprehensive guide to creating impactful visualizations.
Coursera
Develop a deep understanding of modeling and analysis techniques essential for extracting valuable insights from your data. This course focuses on the powerful Tidyverse tools that will help you ask the right questions of your data and apply appropriate modeling approaches to uncover hidden patterns and relationships.