Mastering Software Development in R Capstone
This course is part of Mastering Software Development in R.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Mastering Software Development in R Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Build a complete R package for earthquake data analysis
Implement data cleaning and visualization tools
Create interactive maps using Leaflet
Develop comprehensive package documentation
Deploy and maintain code on GitHub
Skills you'll gain
This course includes:
0.02 Hours PreRecorded video
2 peer reviews
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This capstone project integrates skills developed throughout the Mastering Software Development in R Specialization. Students create a software package to analyze the NOAA Significant Earthquakes dataset, implementing data cleaning, visualization tools, and mapping capabilities. The project emphasizes proper documentation, testing, and deployment practices, culminating in a fully functional R package hosted on GitHub.
Obtain and Clean the Data
Module 1 · 21 Minutes to complete
Building Geoms
Module 2 · 10 Minutes to complete
Building a Leaflet Map
Module 3 · 10 Minutes to complete
Documentation and Packaging
Module 4 · 1 Hours to complete
Deployment
Module 5 · 10 Minutes to complete
Final Assessment
Module 6 · 1 Hours to complete
Instructors
Pioneering Research in Environmental Health
Dr. Anderson is an Assistant Professor at Colorado State University in the Department of Environmental & Radiological Health Sciences and a Faculty Associate in the Department of Statistics. She is actively involved in the university’s Partnership of Air Quality, Climate, and Health and serves on the editorial boards of Epidemiology and Environmental Health Perspectives. Previously, she completed a postdoctoral appointment in Biostatistics at Johns Hopkins Bloomberg School of Public Health and earned her PhD in Engineering from Yale University. Her research focuses on health risks related to climate-related exposures, such as heat waves and air pollution, and she has conducted several national-level studies. Dr. Anderson has also developed open-source R software packages to enhance environmental epidemiologic research.
Professor of Biostatistics at Johns Hopkins University
Dr. Roger D. Peng is a Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and serves as a Co-Editor of the Simply Statistics blog. He earned his PhD in Statistics from the University of California, Los Angeles, and is recognized for his research in air pollution, health risk assessment, and statistical methods for environmental data. In 2016, he received the Mortimer Spiegelman Award from the American Public Health Association, honoring his significant contributions to health statistics. Dr. Peng developed the Statistical Programming course at Johns Hopkins to equip students with essential computational tools for data analysis. Additionally, he is a national leader in promoting reproducible research practices and serves as the Reproducible Research editor for the journal Biostatistics. His interdisciplinary research has been published in prestigious journals, including the Journal of the American Medical Association and the Journal of the Royal Statistical Society. He has authored over a dozen software packages that implement statistical methods for environmental studies and reproducible research, and he regularly conducts workshops and tutorials on statistical computing and data analysis.
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