R을 배우는 5 가지 가장 효과적인 방법

간단한 시계열을 계획하고 있거나 다음 선거에 대한 예측 모델을 작성하든 관계없이 R 프로그래밍 언어의 유연성을 통해 작업을 수행하는 데 필요한 모든 기능을 사용할 수 있습니다. 이 블로그에서는이 필수 데이터 과학 언어를 학습하기위한 5 가지 효과적인 전략과 각각의 주요 리소스에 대해 살펴볼 것입니다. 이 전략은 세계에서 가장 강력한 통계 언어를 마스터하는 길에서 서로 보완하기 위해 사용해야합니다!

Whether you’re plotting a simple time series or building a predictive model for the next election, the R programming language’s flexibility will ensure you have all the capabilities you need to get the job done. In this blog we will take a look at five effective tactics for learning this essential data science language, as well as some of the top resources associated with each. These tactics should be used to complement one another on your path to mastering the world’s most powerful statistical language!

1. Watch Instructive Videos

We often flock to YouTube when we want to learn how to play a song on the piano, change a tire, or chop an onion, but why should it be any different when learning how to perform calculations using the most popular statistical programming language? LearnR, Google Developers, and MarinStatsLectures are all fantastic YouTube channels with playlists specifically dedicated to the R language.

2. Read Blogs

There’s a good chance you came across this article through the R-bloggers website, which curates content from some of the best blogs about R that can be found on the web today. Since there are 750+ blogs that are curated on R-bloggers alone, you shouldn’t have a problem finding an article on the exact topic or use case you’re interested in!

A few notable R blogs:

3. Take an Online Course

As we’ve mentioned in previous blogs, there are a great number of online classes you can take to learn specific technical skills. In many instances, these courses are free, or very affordable, with some offering discounts to college students. Why spend thousands of dollars on a university course, when you can get as good, if not better (IMHO), of an understanding online.

Some sites that offer great R courses include:

4. Read Books

Many times, books are given a bad rap since most programming concepts can be found online, for free. Sure, if you are going to use the book just as a reference, you’d probably be better off saving that money and taking to Google search. However, if you’re a beginner, or someone who wants to learn the fundamentals, working through an entire book at the foundational level will provide a high degree of understanding.

There is a fantastic list of the best books for R at Data Science Central.

5. Experiment!

You can read articles and watch videos all day long, but if you never try it for yourself, you’ll never learn! Datazar is a great place for you to jump right in and experiment with what you’ve learned. You can immediately start by opening the R console or creating a notebook in our cloud-based environment. If you get stuck, you can consult with other users and even work with scripts that have been opened up by others!

I hope you found this helpful and as always if you would like to share any additional resources, feel free to drop them in the comments below!

Resources Included in this Article

The 5 Most Effective Ways to Learn R was originally published in Datazar Blog on Medium, where people are continuing the conversation by highlighting and responding to this story.

소스: The 5 Most Effective Ways to Learn R | R-bloggers

0 댓글

댓글 남기기

토론에 참여하고 싶습니까?
기꺼이 공헌하십시오!

댓글 남기기