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所在平台: Udemy |
课程主页: https://www.udemy.com/course/static-and-interactive-data-visualizations-in-r/
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课程名称：R语言中的静态和互动数据可视化 课程概述：您好，我是Minerva Singh，具有牛津大学地理与环境硕士学位的研究生，最近在剑桥大学完成了热带生态与保护的博士学位。我拥有多年使用统计建模分析不同来源的现实数据的经验，并在国际同行评审期刊上发表过多篇论文。如果您觉得统计书籍和手册晦涩、昂贵且不实用，那您一定会喜欢这门课程！我创建了这门课程，旨在手把手教您所有相关概念，解决数据科学的基本构建块——数据整理和可视化，使用R编程语言。本课程将为您提供大量实用信息，确保您获得我在世界两所顶尖大学的严格培训中所掌握的知识和技能，包括统计数据分析、整理和可视化。 具体来说，本课程将帮助您： (a) 从零基础开始，逐步学习并创建出令人印象深刻的可视化作品； (b) 掌握一些重要的R可视化包，例如ggplot2； (c) 以实用的方式介绍一些重要的数据可视化概念，以便您可以将这些概念应用于实际的数据分析和解释； (d) 学会选择最适合回答研究问题和适合您数据的可视化技术，并能够解读结果； (e) 使用Plotly等软件包，处理现实数据创建高质量的互动可视化作品，课程将重点帮助您在现实数据（如奥运会和诺贝尔奖获得者）上实施不同技术。 每节视频结束后，您将学习到一个新的概念或技术，并可以立即应用于自己的项目！通过实践中的小测验和作业巩固您的知识。现在就采取行动吧！您在学习过程中也会得到我的持续支持，确保您能够成功。如果我的保证对您来说还不够，您可以在购买后30天内申请退款，如果您对课程完全不满意。今天就采取行动吧！我会亲自支持您，确保您在这门课程中的学习体验成功。
Hello, My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment), graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation).I have several years of experience in analyzing real-life data from different sources using statistical modelling and producing publications for international peer-reviewed journals. If you find statistics books & manuals too vague, expensive & not practical, then you're going to love this course!I created this course to take you by hand and teach you all the concepts, and tackle the most fundamental building block on practical data science- data wrangling and visualisation using the R Programming Language. GET ACCESS TO A COURSE THAT IS JAM PACKED WITH TONS OF APPLICABLE INFORMATION! This course is your sure-fire way of acquiring the knowledge and statistical data analysis wrangling and visualisation skills that I acquired from the rigorous training I received at 2 of the best universities in the world, the perusal of numerous books and publishing statistically rich papers in a renowned international journal like PLOS One.To be more specific, here's what the course will do for you: (a) It will take you (even if you have no prior statistical modelling/analysis background) from a basic level to creating impressive visualisations (b) It will equip you to use some of the most important R visualisation packages such as ggplot2. (c) It will introduce some of the most important data visualisation concepts to you in a practical manner such that you can apply these concepts for practical data analysis and interpretation. (d) You will also be able to decide which visualisation techniques are best suited to answer your research questions and applicable to your data and interpret the results.(e) You will work with real-life data to create publication-quality interactive visualizations with packages such as Plotly. The course will mostly focus on helping you implement different techniques on real-life data such as Olympic and Nobel Prize winnersAfter each video, you will learn a new concept or technique which you may apply to your own projects immediately! Reinforce your knowledge through practical quizzes and assignments. TAKE ACTION NOW:) You'll also have my continuous support when you take this course just to make sure you're successful with it. If my GUARANTEE is not enough for you, you can ask for a refund within 30 days of your purchase in case you're not completely satisfied with the course.TAKE ACTION TODAY! I will personally support you and ensure your experience with this course is a success.
