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所在平台: Udemy |
课程主页: https://www.udemy.com/course/static-and-interactive-data-visualizations-in-python/
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课程名称：Python中的静态和交互式数据可视化 课程概述：您好，我是Minerva Singh，来自牛津大学的地理与环境硕士毕业生，并且最近在剑桥大学完成了热带生态学和保护的博士学位。我在分析来自不同来源的真实数据方面拥有多年经验，通过统计建模为国际同行评审期刊撰写出版物。如果您觉得统计书籍和手册过于模糊、昂贵且不实用，那么您定会喜欢这门课程！我创建了这门课程，旨在手把手教您所有概念，解决实用数据科学中最基本的构建块——数据整理与可视化。 本课程将帮助您获得我在世界两所顶尖大学接受的严格训练中学到的统计数据分析、整理和可视化技能，课程内容信息丰富，实用性强。具体来说，课程将为您提供以下支持：(a) 即使您没有统计建模/分析的背景，也能从基础学习到创建令人印象深刻的可视化；(b) 掌握一些重要的Python可视化包，如seaborn；(c) 以实用的方式向您介绍一些重要的数据可视化概念，使您能够应用这些概念进行数据分析和解读；(d) 帮助您确定哪些可视化技术最适合回答您的研究问题并适用于您的数据，以及解读结果。 课程将重点帮助您在真实数据（如奥运会和诺贝尔奖获奖者数据）上实现不同技术。每个视频结束后，您将学习一个新的概念或技术，并能立即应用于自己的项目！通过实践测验和作业巩固您的知识。现在就采取行动！在您参加课程期间，我会持续支持您，确保您取得成功。如果我的保证不够，您还可以在购买后30天内申请退款，如果您对课程不完全满意。今天就行动吧！我将亲自支持您，确保您在这门课程中的体验成功。
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. 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 Python visualisation packages such as seaborn. (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. 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.
