R Programming, Configure RStudio, Data Science, R Interface, R Compiler, Python Programming, Reticulate
Description
As of of 2024, R is rocking it with these cool numbers:
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RStudio has an active user base of 3.5 million.
Posit cloud has a 65,000 userbase.
Over the year, an impressive 2 billion packages were downloaded.
New 2024 — Using Python with RStudio has never been easier! New lectures added!
RStudio (Posit) is the best IDE there is for R Programmers and Data Professionals.
It was initially created for R users and currently supports Python, SQL, C++, D3, and other programming languages.
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It also facilitates the creation of R packages, Shiny Applications, Markdown documents, Quarto Documents, books, blogs, websites, Quarto Presentations (new!), APIs.
RStudio is what made R great and now millions of data scientists use R on daily basis.
I have taught R & RStudio to over 1,000 people and always emphasized the importance of understanding all the features of the RStudio API.
Having a friendly and ergonomic interface is very important.
Understanding the complete functionalities of Rstudio will give you an edge as some of them will save you hours, and others will improve your overall user experience.
This course will explain to you how to
download and install R and set up your RStudio IDE
configure the global options
understand the panes (console, scripts, environment, files, plots, packages, viewer, help)
launch projects and navigate through projects
understand the working directory, file, and folder structure
create your first R script in RStudio
connect to git and use the git pane
clone repository from GitHub
customize your code and add tweaks
install Python and run py scripts (live!)
Once you complete this course you will set up your R and RStudio correctly and once and for all.
| Total Students | 2166 |
|---|---|
| Duration | 1 hour |
| Language | English (US) |
| Number of lectures | 19 |
| Number of quizzes | 0 |
| Total Reviews | 66 |
| Global Rating | 4.5 |
| Instructor Name | Arkadi Avanesyan |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
86% 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
- Practical
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Hands On
- Practical
- Clear Explanation
Watch-outs
- Old version
- Error
- Too fast
Difficulty
Best suited for
New learners starting from zero
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