Programa de cursos integrados Mastering Software Development in R

Inicia em Jun 25

Programa de cursos integrados 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 esse Programa de cursos integrados

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.

Desenvolvido por:

courses
5 courses

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projects
Projetos

Projetado para ajudar a praticar e aplicar as habilidades que aprendeu.

certificates
Certificados

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Visão Geral dos Projetos

Cursos
Beginner Specialization.
No prior experience required.
  1. CURSO 1

    The R Programming Environment

    Próxima sessão: Jun 25
    Legendas
    English

    Sobre o 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 commu
  2. CURSO 2

    Advanced R Programming

    Próxima sessão: Jun 25
    Legendas
    English, Chinese (Simplified)

    Sobre o 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, profil
  3. CURSO 3

    Building R Packages

    Legendas
    English

    Sobre o 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
  4. CURSO 4

    Building Data Visualization Tools

    Compromisso
    4 weeks, 2 hours per week
    Legendas
    English, Chinese (Simplified)

    Sobre o 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 conclusio
  5. CURSO 5

    Mastering Software Development in R Capstone

    Próxima sessão: Aug 13
    Legendas
    English

    Sobre o Trabalho de Conclusão

    R

Desenvolvedores

  • Johns Hopkins University

    Johns Hopkins University is recognized as a destination for excellent, ambitious scholars and a world leader in teaching and research. The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.

    The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.

  • Roger D. Peng, PhD

    Roger D. Peng, PhD

    Associate Professor, Biostatistics
  • Brooke Anderson

    Brooke Anderson

    Assistant Professor, Environmental & Radiological Health Sciences

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