Spécialisation Mastering Software Development in R

Commence le Nov 12

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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courses
5 courses

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projects
Projets

Conçu pour vous aider à vous exercer et à appliquer les compétences que vous avez acquises.

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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.
  1. COURS 1

    The R Programming Environment

    Sous-titres
    Anglais

    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 comm
  2. COURS 2

    Advanced R Programming

    Sous-titres
    Anglais, Chinois (simplifié)

    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, profi
  3. COURS 3

    Building R Packages

    Sous-titres
    Anglais

    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 provide
  4. COURS 4

    Building Data Visualization Tools

    Engagement
    4 weeks, 2 hours per week
    Sous-titres
    Anglais, Chinois (simplifié)

    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 conclusi
  5. COURS 5

    Mastering Software Development in R Capstone

    Session à venir : Jan 28
    Sous-titres
    Anglais, Géorgien, Estonien, Allemand, Thaï, Japonais, Népalais

    À propos du Projet Final

    R

Créateurs

  • 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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