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所在平台: Udemy |
课程主页: https://www.udemy.com/course/r-shiny-flexdashboards/
课程评论：没有评论
课程名称：R Shiny Flex Dashboard 互动数据可视化 课程概述：你是否希望快速学习如何使用 R 的 Shiny 创建互动应用程序？是否厌倦了在互联网上花费数小时寻找所需的代码片段？在这里，我要告诉你一个鲜为人知的秘密：99% 关于 R 的信息都已过时。 R 自20多年前推出以来，已经通过一些非常出色的库进行了指数级的增强。学习最新的优秀库，将使你在使用 R 时拥有巨大的优势。有了这些技术，你可以用更少的代码和学习时间，取得更出色的成果。 在本课程中，你将学习如何以最佳方式构建互动网页应用程序，这是其他课程所不教的。我的名字是 Jonathan Ng，我将担任你的讲师。我会一步一步带你完成几个不同应用程序的构建过程，帮助你在几分钟内完成，而不是数小时，让你能够立即将这些技术应用于自己的工作中。你将学习如何写出更简单、简洁的代码，并且跳过通常学习应用开发所需的一半材料。目前，这是构建数据应用程序最快、最高效的方法，相比于 Python 或传统的 R 方法，优势明显。 你能够让内容更加灵活，能够将其发布到多种格式，包括网页、书籍、幻灯片等，而不仅仅是互动仪表板！你将学习图形网络分析如何彻底改变你处理数据的方式，并看到如何在仪表板中轻松实现图形可视化。R 是一个出色的股票市场和时间序列分析工具，能够同时分析整个股票组合，并利用新的机器学习技术来分析数据。在本课程中，你将了解一些用于处理股票和时间序列数据的最佳新库，并将其嵌入到应用程序中。 除了应用程序外，你还将学习如何通过编写自己的函数来提升日常 R 代码的性能，并学习如何通过一些高级概念（如 tidy evaluation）使其动态化。我非常高兴能给你呈现这一课程，期待在课堂上见到你。
Let me ask you a question Do you want to shortcut the time it takes learn how to build interactive applications using Shiny in R? Are you tired of spending hours shifting through the internet to find small snipets of code that you need to figure out how to put together? Let me tell you a little known secret. 99% of the information available on R is massively out of date. R has been around for over 20 years now and since then it has been exponentially enhanced through some really amazing libraries. Learning to use the best new libraries available is the difference between using version 1 of the software that was developed over 20 years ago and using version 10. You'll be able produce impressive results with less code and less study by leveraging the work of some of the smartest people in the world. In this course you will learn the best way to build interactive web applications with R Shiny that no one else is teaching. My name is Jonathan Ng and I will be your instructor I will take you step by step through the end to end process of building several different applications in minutes not hours so you can start applying these techniques to your own work immediately. You will learn how you can Write simplier more concise code and skip over at least half of the material usually required to learn app development with R. Right now this is the fastest most efficient way to build data applications when compared to other platforms like Python or traditional methods of R. You'll be able to make your content more flexible so you can also publish it to a range of different formats including web pages, books, slide decks and not just interactive dashboards! You'll learn how Graph network analysis could revolutinise the way you work with data and see how you can easily implement graph visualisations in a dashboard. R is an incredible tool for stock market and timeseries analysis that allows you to simultaneously analyse entire portfolios of stocks and gives you the ability to take advantage of new machine learning techniques to analyze your data. In this course you'll learn about some of the best new libraries for working with stock and timeseries data which we will imbed into an app. Besides apps you'll also learn how to super charge your every day R code by writting your own functions and learning how to make them super dynamic with some advanced concepts such as tidy evaluation. I'm super excited to present this course to you and look forward to seeing you on the inside.
