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강의 계획서 보기

배우게 될 기술

Data Analysis, Debugging, R Programming, Rstudio

검토

4.5(19,334개의 평가)
  • 5 stars
    68.17%
  • 4 stars
    22.55%
  • 3 stars
    5.78%
  • 2 stars
    1.90%
  • 1 star
    1.57%
WH

Feb 03, 2016

"R Programming" forces you to dive in deep.\n\nThese skills serve as a strong basis for the rest of the data science specialization.\n\nMaterial is in depth, but presented clearly. Highly recommended!

MR

May 12, 2020

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.

수업에서
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.

강사:

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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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