Dates and Times

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Просмотреть программу курса

Получаемые навыки

Data Analysis, Debugging, R Programming, Rstudio

Рецензии

4.5 (оценок: 21,894)

  • 5 stars
    68,11 %
  • 4 stars
    22,16 %
  • 3 stars
    5,83 %
  • 2 stars
    2,06 %
  • 1 star
    1,82 %

WH

2 февр. 2016 г.

"R Programming" forces you to dive in deep.

These skills serve as a strong basis for the rest of the data science specialization.

Material is in depth, but presented clearly. Highly recommended!

MR

11 мая 2020 г.

Really interesting course. The interactive coding sessions with swirl are especially useful. Would be great, if you provided sample solutions for the programming assignments, in particular for week 4.

Из урока

Week 2: Programming with R

Welcome to Week 2 of R Programming. This week, we take the gloves off, and the lectures cover key topics like control structures and functions. We also introduce the first programming assignment for the course, which is due at the end of the week.

Преподаватели

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    Roger D. Peng, PhD

    Associate Professor, Biostatistics

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    Jeff Leek, PhD

    Associate Professor, Biostatistics

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    Brian Caffo, PhD

    Professor, Biostatistics

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