R Markdown

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Получаемые навыки

Data Science, Github, R Programming, Rstudio

Рецензии

4.6 (оценок: 32,576)

  • 5 stars
    69,34 %
  • 4 stars
    23,34 %
  • 3 stars
    5,35 %
  • 2 stars
    1,09 %
  • 1 star
    0,86 %

AI

23 апр. 2018 г.

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This course was a good intro especially in setting all the necessary software for future courses. I suggest to read the manuals, books and other readings the profs suggest. The resources are helpful.

SC

7 окт. 2020 г.

Filled StarFilled StarFilled StarFilled StarFilled Star

Great course content and very much informative with the different options of learning either through text or video. A good introductory course to the Data Science: Foundations Using R Specialization.

Из урока

R Markdown, Scientific Thinking, and Big Data

During this final module, you'll learn to use R Markdown and get an introduction to three concepts that are incredibly important to every successful data scientist: asking good questions, experimental design, and big data.

Преподаватели

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    Jeff Leek, PhD

    Associate Professor, Biostatistics

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    Roger D. Peng, PhD

    Associate Professor, Biostatistics

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    Brian Caffo, PhD

    Professor, Biostatistics

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