Sure, here are 5 steps to learn R programming in 2023:

1. Familiarize yourself with the basics: Before diving into complex data analysis with R, it's important to have a solid understanding of the basics. This includes learning the R syntax, data types, variables, functions, and basic programming concepts like loops and conditional statements.

2. Practice on real datasets: The best way to learn R is to apply it to real-world datasets. There are many resources online where you can find datasets to practice on, such as Kaggle and UCI Machine Learning Repository.

3. Learn from R experts: To learn R programming efficiently, it's important to learn from experts in the field. There are many online courses, tutorials, and forums where you can find guidance from experienced R users.

4. Build projects: Practice is key to mastering R programming. Once you've learned the basics and practiced on real datasets, start building your own projects. This will give you hands-on experience with R and help you develop your data analysis skills.

5. Stay up-to-date: R programming is constantly evolving, so it's important to stay up-to-date with the latest developments. Follow R blogs, attend R conferences, and engage with the R community to stay informed about new tools and techniques.
   
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By following these five steps, you can learn R programming efficiently and effectively in 2023. Good luck on your learning journey!