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所在平台: Udemy |
课程主页: https://www.udemy.com/course/complete-data-wrangling-data-visualisation-with-python/
课程评论：没有评论
课程名称：Python 数据清理与可视化完全指南 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，最近在剑桥大学完成了热带生态与保护的博士学位。我拥有多年分析来自不同来源的真实数据的经验，使用统计建模，并在国际同行评审的期刊上发表论文。如果您觉得统计书籍和手册太模糊、价格昂贵且不实用，那么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概念，并解决实际数据科学的基础构建模块——数据清理与可视化。 课程内容丰富，充满实用信息！这门课程将是您获取统计数据分析、清理和可视化技能的有效途径，这些技能是我在世界顶尖大学接受严格培训后所掌握的，此外还包括对众多书籍的阅读以及在国际知名期刊如 PLOS One 上发表统计丰富论文的经验。 具体来说，这门课程将为您提供以下内容： (a) 即使您没有任何统计建模/分析的背景，也能从基础水平提升到在 Python 中执行常见数据清理任务。 (b) 让您掌握一些最重要的 Python 数据清理和可视化工具包，如 Seaborn。 (c) 向您介绍一些重要的数据可视化概念，以实用的方式使您能够将这些概念应用于实际数据分析和解释。 (d) 帮助您决定哪些清理和可视化技术最适合回答您的研究问题，适用于您的数据，并解释结果。 课程将重点帮助您在真实的数据上实施不同的技术，例如奥运会和诺贝尔奖获奖者的数据。在每个视频之后，您将学到一个新概念或技术，您可以立即将其应用于自己的项目！通过实际的测验和作业巩固您的知识。 现在就采取行动吧:) 在您参加课程的过程中，我将持续支持您，确保您取得成功。如果我的保证对您还不够，您可以在购买后30天内请求退款，如果您对课程不满意。今天就行动起来！我会亲自支持您，确保您在这门课程中的体验获得成功。
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 modeling 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, perusal of numerous books and publishing statistically rich papers in 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 performing some of the most common data wrangling tasks in Python. (b) It will equip you to use some of the most important Python data wrangling and 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 wrangling and 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.
