In each of the courses, learners will deploy their newly acquired advanced R language skills to manipulate complex datasets, write powerful functions, create a new R package, and develop new visualization tools for building custom data graphics. These projects will result in a portfolio of R code that can be reused and built upon for deployment in the real world.
Programa Especializado - Mastering Software Development in R
Build the Tools for Better Data Science. Learn to design software for data tooling, distribute R packages, and build custom visualizations
Sobre este Programa Especializado
This Specialization covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing useful data science results and products. You will obtain rigorous training in the R language, including the skills for handling complex data, building R packages and developing custom data visualizations. You will learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers.
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Descripción general de los proyectos
- Beginner Specialization.
- No prior experience required.
The R Programming EnvironmentSesión actual: Aug 20
Acerca del CursoThis course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a communi
Advanced R ProgrammingSesión actual: Aug 20
- English, Chinese (Simplified)
Acerca del CursoThis course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include functional programming in R, robust error handling, object oriented programming, profilin
Building R PackagesSesión actual: Aug 20
Acerca del CursoWriting good code for data science is only part of the job. In order to maximizing the usefulness and reusability of data science software, code must be organized and distributed in a manner that adheres to community-based standards and provides a
Building Data Visualization ToolsSesión actual: Aug 20
- 4 weeks, 2 hours per week
- English, Chinese (Simplified)
Acerca del CursoThe data science revolution has produced reams of new data from a wide variety of new sources. These new datasets are being used to answer new questions in way never before conceived. Visualization remains one of the most powerful ways draw conclusions
Mastering Software Development in R CapstonePróxima sesión: Nov 5
- English, Georgian, Estonian, German, Thai, Japanese, Nepali
Sobre el Proyecto FinalR
Roger D. Peng, PhD
Associate Professor, Biostatistics
Assistant Professor, Environmental & Radiological Health Sciences
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