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.
Spécialisation 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
À propos de cette Spécialisation
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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5 courses
Suivez l'ordre suggéré ou choisissez le vôtre.
Projets
Conçu pour vous aider à vous exercer et à appliquer les compétences que vous avez acquises.
Certificats
Mettez en évidence vos nouvelles compétences sur votre CV ou sur LinkedIn.
Vue d'ensemble des projets
Cours
- Beginner Specialization.
- No prior experience required.
COURS 1
The R Programming Environment
- Sous-titres
- English
À propos du cours
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 commVous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 2
Advanced R Programming
- Sous-titres
- English, Chinese (Simplified)
À propos du cours
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, profiVous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 3
Building R Packages
- Sous-titres
- English
À propos du cours
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 provideVous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 4
Building Data Visualization Tools
- Engagement
- 4 weeks, 2 hours per week
- Sous-titres
- English, Chinese (Simplified)
À propos du cours
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 conclusiVous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 5
Mastering Software Development in R Capstone
Session à venir : Nov 5- Sous-titres
- English, Georgian, Estonian, German, Thai, Japanese, Nepali
À propos du Projet Final
RVous pouvez choisir de suivre seulement ce cours. En savoir plus.
Créateurs
Roger D. Peng, PhD
Associate Professor, Biostatistics
Brooke Anderson
Assistant Professor, Environmental & Radiological Health Sciences
FAQs
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