R Programming in Data Science: Setup and Start
With Mark Niemann-Ross
Liked by 1,695 users
Duration: 1h 42m
Skill level: Intermediate
Released: 4/7/2018
Course details
R is powerful, but not intuitive. There is a strong and diverse R ecosystem, and data scientists are expected to mix and match from the different versions and packages. Before you can even begin programming, you have to choose, install, and set up R to work for you.
In this course, Mark Niemann-Ross provides a direct and efficient introduction to the many flavors of the R programming language, including base R, tidyverse R, R Open from Microsoft, and Bioconductor R. He also provides a peek at programming with R interactively and via the command line, and introduces some helpful packages for working with SQL, 3D graphics, data, and clusters in R. At the end of this short course, you will have installed a version of R along with a few core libraries and an optimized IDE.
In this course, Mark Niemann-Ross provides a direct and efficient introduction to the many flavors of the R programming language, including base R, tidyverse R, R Open from Microsoft, and Bioconductor R. He also provides a peek at programming with R interactively and via the command line, and introduces some helpful packages for working with SQL, 3D graphics, data, and clusters in R. At the end of this short course, you will have installed a version of R along with a few core libraries and an optimized IDE.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
LinkedIn Learning
Certificate of Completion
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
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Osaretin Evbuomwan
Osaretin Evbuomwan
Macroeconomist
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John Kirk Browning
John Kirk Browning
Independent Consultant at Redeemed Strategies
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Suk Hiang (Kelly) Lau
Suk Hiang (Kelly) Lau
Lab Tech. at NUS
Contents
What’s included
- Practice while you learn 2 exercise files
- Test your knowledge 6 quizzes
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units