Get up to speed quickly in R
Description
This is a course for absolute beginners in R. No programming knowledge is assumed.
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You will learn to install R and RStudio and to use RStudio Cloud -all 3 are free.
R is one of the leading programming languages for Data Science and arguably the most important language for statistical programming.
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What you will learn:
1: Basic Building Blocks
2: Workspace and Files
3: Sequences of Numbers
4: Vectors
5: Missing Values
6: Subsetting Vectors
7: Matrices and Data Frames
8: Logic
9: Functions
The course should take between 4 and 8 hours. When you finish you should be confident in programming with R. The knowledge you gain will allow you to be ready to study my advanced class in programming based on my recently published textbook:
Mathematics and Programming for Machine Learning with R: From the Ground Up (available at Amazon).
However, you don’t need to continue beyond this free course to learn and become proficient in programming in R.
The instructor has taught R for many years and has written a 430 page book on using R to write important machine learning algorithms from scratch. Once you complete this current course you may want to continue to become an expert programmer by exploring this book and the associated course here at Udemy.
| Total Students | 4590 |
|---|---|
| Duration | 1 hour |
| Language | English (US) |
| Number of lectures | 12 |
| Number of quizzes | 8 |
| Total Reviews | 224 |
| Global Rating | 4.16 |
| Instructor Name | William Claster |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
78% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 1 hour
- Practical value: 7/10
Roadmap Fit
- Beginner → Beginner → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
- Hands On
- Real World
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Hands On
- Real World
- Beginner Friendly
Watch-outs
- Too fast
- Too slow
Difficulty
Best suited for
New learners starting from zero
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