数据技术（R）会最终过时的话题（原谅我使用英语来表达自己的观点）

最新推荐文章于 2020-12-08 11:29:44 发布

原创最新推荐文章于 2020-12-08 11:29:44 发布 · 160 阅读

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本文提出了学习R语言的三个核心步骤：掌握基础知识，利用语言平台学习原则，以及培养学习艺术。强调了无论编程语言如何变化，掌握核心技能和学习方法的重要性。

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Here‘s my recommendation：
Technology is changing fast.
Any programming language you learn does have a shelf life.
But don’t use that as a reason to not master the foundations of R.
Instead do the following:
    1、master the foundations of R
    This means master the essential tools of data visualization, data manipulation, and data analysis in R. Drill the syntax of these foundations until you know them with your eyes closed.
    2、Use your language as a platform to learn principles
    Once you’ve nailed the syntax, use your language as a “platform” to learn principles. Begin to focus on “how to analyze data”, “how to think about data visualization”, “how to find insights.” Essentially, you want to begin learning concepts, workflow, and process. These skills are language-agnostic, so you can bring them with you if you move to another language.
   3、Master the art of learning
    Tools become obsolete. Over the course of your career, you’ll have to learn new things to stay competitive.
    Ultimately, I’m telling you not to despair that programming languages become obsolete.I want to to become so good at learning them that you just don’t care.