R Programming: Data Science Fundamentals
Master R programming fundamentals and learn essential data science skills through hands-on practice with real-world crime data analysis.
Master R programming fundamentals and learn essential data science skills through hands-on practice with real-world crime data analysis.
This foundational course introduces R programming through practical data science applications. Students work with real U.S. crime data to learn essential R programming concepts and data analysis techniques. The curriculum covers R syntax, data types, vector operations, and advanced functions, while teaching practical skills in data wrangling with dplyr and visualization with ggplot2. The course also introduces vital tools like UNIX/Linux, git/GitHub, and RStudio for professional data science workflow. As part of Harvard's Data Science Professional Certificate Program, this course builds a strong foundation for advanced topics in data science.
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What you'll learn
Master basic R syntax and fundamental programming concepts
Perform data wrangling and analysis using R's powerful tools
Create effective data visualizations with ggplot2
Develop proficiency in essential data science tools and workflows
Apply R programming skills to real-world data analysis challenges
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This comprehensive course introduces fundamental R programming concepts through practical data science applications. Students learn essential R syntax, data types, and programming concepts while working with real-world datasets. The curriculum covers crucial data science skills including data wrangling with dplyr, visualization with ggplot2, and professional tools like git/GitHub and RStudio. Through hands-on practice analyzing U.S. crime data, students develop practical skills in data manipulation, analysis, and visualization.
Fee Structure
Instructor
32 Courses
Harvard Biostatistics Professor and Genomics Data Analysis Pioneer
Rafael Irizarry is a distinguished Professor of Biostatistics at the Harvard T.H. Chan School of Public Health and Professor of Biostatistics and Computational Biology at the Dana-Farber Cancer Institute. His expertise spans genomics, data analysis, and the R programming language. Irizarry's career has been marked by significant contributions to the field of genomics data analysis over the past two decades
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