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.
Creada por:
5 courses
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Proyectos
Diseñado para ayudarte a practicar y aplicar las habilidades que aprendiste.
Certificados
Resalta tus nuevas habilidades en tu currículum o LinkedIn.
Descripción general de los proyectos
Cursos
- Beginner Specialization.
- No prior experience required.
CURSO 1
The R Programming Environment
Sesión actual: Aug 20- Subtítulos
- English
Acerca del Curso
This 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 communiPuedes elegir tomar solo este curso. Más información.
CURSO 2
Advanced R Programming
Sesión actual: Aug 20- Subtítulos
- English, Chinese (Simplified)
Acerca del Curso
This 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, profilinPuedes elegir tomar solo este curso. Más información.
CURSO 3
Building R Packages
Sesión actual: Aug 20- Subtítulos
- English
Acerca del Curso
Writing 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 aPuedes elegir tomar solo este curso. Más información.
CURSO 4
Building Data Visualization Tools
Sesión actual: Aug 20- Dedicación
- 4 weeks, 2 hours per week
- Subtítulos
- English, Chinese (Simplified)
Acerca del Curso
The 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 conclusionsPuedes elegir tomar solo este curso. Más información.
CURSO 5
Mastering Software Development in R Capstone
Próxima sesión: Nov 5- Subtítulos
- English, Georgian, Estonian, German, Thai, Japanese, Nepali
Sobre el Proyecto Final
RPuedes elegir tomar solo este curso. Más información.
Creadores
Roger D. Peng, PhD
Associate Professor, Biostatistics
Brooke Anderson
Assistant Professor, Environmental & Radiological Health Sciences
FAQs
More questions? Visit the Learner Help Center.
