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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learning-r-programming-for-data-science/
课程评论：没有评论
**课程总结：R语言数据科学编程** 本课程旨在帮助学习者掌握R语言基础，为成为一名合格的数据科学家奠定坚实基础。课程伊始，将介绍数据科学及其项目流程。随后，深入讲解R语言的各种方法和函数，助力学习者开启数据科学之旅。 **核心内容概览：** * **环境搭建：** 学习安装和配置R及RStudio。 * **数据结构：** 掌握向量（Vectors）、矩阵（Matrices）、因子（Factors）、数据框（Data Frames）和列表（Lists）等R中的核心数据结构。 * **编程基础：** 运用运算符、条件语句、循环以及基础和自定义函数解决简单数据问题。 * **数据处理与分析：** * 学习导入和清洗外部文件。 * 掌握Apply系列函数、正则表达式、日期与时间处理。 * 熟悉Base Plotting进行基础数据可视化。 * 深入学习并应用强大的`dplyr`包进行高效的数据操作。 通过本课程的学习，学员将具备使用R进行数据科学项目实践的基本能力。
This course puts the participant in the right path to become a competent Data Scientist by teaching him/her the basics of R Language as one prominent tool in Data Science.The course starts by introducing Data Science and the steps taken to complete a Data Science project. Then it continues with lectures on various methods and functions of R enabling the participant to start his/her journey towards becoming a Data Scientist with R.In this course participants will learn how to install and configure R and RStudio. Besides, participants will be able to create various data structures such as Vectors, Matrices, Factors, Data Frames, and Lists. They will solve simple data problems using Operators, Conditional Statements, Loops, base and user-defined functions. Participants will understand and use different data gathering and manipulation methods such as getting and cleaning external files, the Apply family, Regular Expressions, Dates & Times, Base Plotting, and the dplyr package.
