R Programming in Data Science
Setup and Start
Heads up! This course may be archived and/or unavailable.
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.
Contents:
- Introduction
- 1. Set Up Base R
- 2. Set Up tidyverse R
- 3. Set Up Microsoft R Open
- 4. Set Up Bioconductor R
- 5. First Look at R Programming
- 6. Most Common R Packages
- Conclusion
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| Rating | Not enough ratings |
|---|---|
| Length | 1h 42m |
| Starts | On Demand (Start anytime) |
| Cost | $29/month (Access to entire library- free trial available) |
| From | LinkedIn Learning |
| Instructor | Mark Niemann-Ross |
| Download Videos | Only via the LinkedIn Learning mobile app |
| Language | English |
| Subjects | IT & Networking Data Science Programming |
| Tags | IT Big Data R RStudio |
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| Rating | Not enough ratings |
|---|---|
| Length | 1h 42m |
| Starts | On Demand (Start anytime) |
| Cost | $29/month (Access to entire library- free trial available) |
| From | LinkedIn Learning |
| Instructor | Mark Niemann-Ross |
| Download Videos | Only via the LinkedIn Learning mobile app |
| Language | English |
| Subjects | IT & Networking Data Science Programming |
| Tags | IT Big Data R RStudio |
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