Learn how to write and graph functions in R and how to fit polynomials to data sets.
Description
This course is a sequel to my course "R, ggplot, and Simple Linear Regression". Here we take on polynomial regression and learn how to fit polynomials to data sets. Along the way, we will learn how to write our own functions in R and how to graph them with ggplot. At the conclusion of the course, we will learn how to fit a smoothing spline to data sets.
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At a relaxed pace, it should take about a week to complete the course. You will need to have R and RStudio installed, and it would be best if you have a background in R and ggplot equivalent to what you would get if you viewed my first course mentioned above.
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| Total Students | 27760 |
|---|---|
| Duration | 1 hour |
| Language | English (US) |
| Number of lectures | 13 |
| Number of quizzes | 0 |
| Total Reviews | 1353 |
| Global Rating | 4.51 |
| Instructor Name | Charles Redmond |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
90% positive recent sentiment
Momentum
🚀 Surging this month
Time & Value
- Est. time: 1 hour
- Practical value: 10/10
Roadmap Fit
- Beginner → Beginner → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
- Hands On
- Clear Explanation
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Hands On
- Clear Explanation
- Well Structured
- Examples
- Actionable
Watch-outs
No consistent issues reported.
Difficulty
Best suited for
New learners starting from zero
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