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所在平台: Udemy |
课程主页: https://www.udemy.com/course/r-analytics/
课程评论：没有评论
课程名称：R编程：数据科学中的高级分析 课程概述：想要将您的R编程技能提升到更高的水平吗？希望真正掌握数据科学和R的分析能力？这个课程就是为您而设！该课程提供专业的视频培训，配合具有多年行业经验设计的独特数据集，生动有趣的练习，让您感受到真实世界中的分析。 在这门课程中，您将学习到： - 如何准备R中的数据进行分析 - 如何在R中执行中位数插补方法 - 如何处理R中的日期和时间 - 列表是什么以及如何使用它们 - Apply函数家族的概念 - 替代循环的apply()、lapply()和sapply()的使用方法 - 如何在apply类型的函数中嵌套您自己的函数 - 如何将apply()、lapply()和sapply()函数嵌套在一起 - 以及更多内容！ 随着学习的深入，您将掌握更多技能，为您的数据科学职业生涯做好准备。我们准备了真实的案例研究： 第一部分：您将处理财务数据，整理数据并为分析做好准备，并要求您创建展示各行业收入、支出和利润的图表。 第二部分：您将帮助煤炭码头了解哪些机器利用率不足，准备各种数据分析任务。 第三部分：您将前往气象局，他们希望更好地理解天气模式，并请求您的协助。 通过本课程的学习，您将获得一系列强大的技能，助力数据科学之路！
Ready to take your R Programming skills to the next level?Want to truly become proficient at Data Science and Analytics with R?This course is for you!Professional R Video training, unique datasets designed with years of industry experience in mind, engaging exercises that are both fun and also give you a taste for Analytics of the REAL WORLD.In this course, you will learn:How to prepare data for analysis in RHow to perform the median imputation method in RHow to work with date-times in RWhat Lists are and how to use themWhat the Apply family of functions isHow to use apply(), lapply() and sapply() instead of loopsHow to nest your own functions within apply-type functionsHow to nest apply(), lapply() and sapply() functions within each otherAnd much, much more!The more you learn, the better you will get. After every module, you will have a robust set of skills to take with you into your Data Science career.We prepared real-life case studies.In the first section, you will be working with financial data, cleaning it up, and preparing for analysis. You were asked to create charts showing revenue, expenses, and profit for various industries.In the second section, you will be helping Coal Terminal understand what machines are underutilized by preparing various data analysis tasks.In the third section, you are heading to the meteorology bureau. They want to understand better weather patterns and requested your assistance on that.
