|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analysis-with-r/
课程评论：没有评论
**课程名称：R语言数据分析** **课程概述：** 本课程将带你从零开始，掌握使用R语言进行数据分析的必备技能。R作为一种广泛用于数据分析和可视化的工具，我们将深入探讨其各项功能。课程核心是真实的数据科学项目，从数据输入输出、基本编程概念（数据类型、条件语句、循环等）到高级功能如函数式编程和数据可视化（制作说服力强的图表），层层递进。完成课程后，你将能够独立完成数据分析任务，从数据中提取有价值的洞察。 **学习重点：** * **R语言基础：** 无需编程经验，从基础数据类型、控制流（条件语句、for/while循环）讲起。 * **数据处理：** 学习各种输入输出方法，有效地处理和转换数据。 * **数据可视化：** 掌握R强大的可视化能力，创作清晰、有说服力的图表。 * **函数式编程：** 理解函数式编程的概念，学习构建自己的函数，提升编程灵活性。 * **数据挖掘与数据科学技术：** 深入学习R语言在数据挖掘和数据科学领域的应用，掌握核心统计能力。 * **实践驱动：** 课程以真实案例为导向，强调动手实践，鼓励学生自己编程、调试、修复。 * **互动学习：** 课程互动性强，每节课都包含多个示例，讲解清晰。视频资料可下载，便于反复学习。 * **评估与反馈：** 每章节后设有练习题，完成后可观看讲解视频，并有答疑环节，帮助学生巩固理解。 **学习目标：** * 能够独立进行完整的数据分析流程，从数据获取到洞察提炼。 * 熟练运用R语言进行数据处理、分析和可视化。 * 理解并应用函数式编程思想。 * 掌握基本的数据挖掘和数据科学技术。 * 提升在其他编程语言中的学习和应用能力。 **课程时长：** 预计7-10天，平均每天3小时（包含个人练习时间）。 **适合人群：** 希望快速掌握数据分析技能，对R语言感兴趣的所有学习者，无论是否有编程背景。 **课程特色：** 注重实践，拒绝“干瘪的幻灯片和冗长的教科书”，提供充足的动手练习机会，助你全面掌握R语言数据分析。
Data analysis becomes essential part of every day life. After this course, you will be able to conduct data analysis task yourself. Gain insights from the data. Will be using R - widely used tool for data analysis and visualization. Data Science project will be core course component - will be working on it after mastering all necessary background. Doing data analysis from ground up to final insights. Starting from very basics we will move to various input and output methods. Yet another important concept - visualization capabilities. After the course you will be able to produce convincing graphs. Background behind functional programming will be presented - including building your own functions. After finishing the course you will feel much more comfortable programming in other languages as well. This is because R being fully empowered programming language itself. Main programming concepts presented: Various data types Conditional statements For and While loops No previous programming knowledge required. Finally, data mining and data science techniques in R delivered in clear fashion together with assignments to make sure you understand topics. Main statistical capabilities behind data science covered. Course is interactive. Specific topic covered in each lecture. Each lecture includes multiple examples. All material covered in videos are available for download! This way student is able to program himself - break things and fix them. Students will finish course in approximately 7-10 days working 3 hours per day. Time spent working individually included. After each section assignment should be completed to make sure you understand material in the section. After you are ready with the solution - watch video explaining concepts behind assignment. I will be ready to give you a hand by answering your questions. Finally, this course is specifically designed to get up to speed fast. Biggest emphasis put on real examples and programming yourself. This distinguishes this course from other material available online - usual courses includes vague slides and long textbooks with no real practise.
