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所在平台: Udemy |
课程主页: https://www.udemy.com/course/r-complete-data-visualization-solutions/
课程评论：没有评论
课程名称：R：完整的数据可视化解决方案 课程概述：如果你希望找到一门涵盖所有R数据可视化内容的课程，那么这就是你的选择。让我们一起开始这段数据可视化的旅程。课程结合了文本、视频、代码示例和评估，让你的学习过程更加激动人心并收获颇丰。课程包含的各个章节呈现了一条连贯的学习路径，模块化的设计帮助你按自己的节奏学习各种主题，朝着掌握R数据可视化的目标前进。 R语言是一种功能强大的开源编程语言，越来越多的数据科学家和分析师选择其作为首选工具，这要归功于其开源特性和庞大的开发社区。R逐渐被经验丰富的数据科学专业人士所青睐，尤其在2017年，它被视为数据科学家的最佳选择。大型企业仍然使用R来满足他们的数据科学需求，而本课程将为你做好准备，以便抓住这些机会。 课程通过丰富的研究和整理技能精心准备而成。每一章节都增加了所学技能，帮助你在数据可视化方面达到精通。所有章节都是模块化的，可以作为独立资源使用。课程涵盖了R中的多种可视化技术、图形、图表、地图和报告，提供了一种实用而互动的学习方式，以易于理解的方式讨论R图形。 课程内容从“ggplot2”入手，教你如何创建高级数据探索图形，然后介绍如何自定义图表，接着讲解交互式图形。课程还包括时间序列图、热图和树状图，并展示如何制作交互式地图。随后，我们将重点讲解如何使用“ggvis”包构建交互式报告，并通过Shiny发布报告和图表。最后，我们将探讨高维数据，从而完成对R数据可视化能力的全面探索。 本课程的讲师是各自领域的佼佼者： - Dr. Fabio Veronesi：在多个与环境研究相关的主题上工作，专注于空间统计技术在环境数据中的应用。 - Atmajitsinh Gohil：纽约市一家咨询公司的高级顾问，专注数据操作、探索和可视化，拥有金融经济学硕士学位。 - Yu-Wei Chiu（David Chiu）：LargitData创始人，专注于大数据和机器学习，擅长使用Spark和Hadoop处理大数据并应用数据挖掘技术。 这个课程为想要全面掌握R数据可视化的学习者提供了宝贵的机会和资源。
If you are looking for that one course that includes everything about data visualization with R, this is it. Let's get on this data visualization journey together. This course is a blend of text, videos, code examples, and assessments, which together makes your learning journey all the more exciting and truly rewarding. It includes sections that form a sequential flow of concepts covering a focused learning path presented in a modular manner. This helps you learn a range of topics at your own speed and also move towards your goal of learning data visualization with R. The R language is a powerful open source functional programming language. R is becoming the go-to tool for data scientists and analysts. Its growing popularity is due to its open source nature and extensive development community. R is increasingly being used by experienced data science professionals instead of Python and it will remain the top choice for data scientists in 2017. Large companies continue to use R for their data science needs and this course will make you ready for when these opportunities come your way. This course has been prepared using extensive research and curation skills. Each section adds to the skills learned and helps us to achieve mastery of data visualization. Every section is modular and can be used as a standalone resource. This course covers different visualization techniques in R and assorted R graphs, plots, maps, and reports. It is a practical and interactive way to learn about R graphics, all of which are discussed in an easy-to-grasp manner. This course has been designed to include topics on every possible data visualization requirement from a data scientist and it does so in a step-by-step and practical manner. We will start by focusing on "ggplot2" and show you how to create advanced figures for data exploration. Then, we will move on to customizing the plots and then cover interactive plots. We will then cover time series plots, heat maps, dendograms. Following that, we will look at maps and how to make them interactive. We will then turn our attention to building an interactive report using the "ggvis" package and publishing reports and plots using Shiny. Finally, we will cover data in higher dimensions which will complete our extensive tour of the data visualization capabilities possible using R. This course has been authored by some of the best in their fields: Dr. Fabio Veronesi In his career, Dr. Veronesi worked at several topics related to environmental research: digital soil mapping, cartography and shaded relief, renewable energy and transmission line siting. During this time Dr. Veronesi has specialized in the application of spatial statistical techniques to environmental data. Atmajitsinh Gohil Atmajitsinh Gohil works as a senior consultant at a consultancy firm in New York City. He writes about data manipulation, data exploration, visualization, and basic R plotting functions on his blog. He has a master's degree in financial economics from the State University of New York (SUNY), Buffalo. Yu-Wei, Chiu (David Chiu) Yu-Wei, Chiu (David Chiu) is the founder of LargitData, a start-up company that mainly focuses on providing Big Data and machine learning products. In addition to being a start-up entrepreneur and data scientist, he specializes in using Spark and Hadoop to process big data and apply data mining techniques for data analysis. Yu-Wei is also a professional lecturer and has delivered lectures on big data and machine learning in R and Python, and given tech talks at a variety of conferences.
