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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-and-machine-learning-with-r-from-a-z/
课程评论：没有评论
课程名称：从零开始学习R语言数据科学与机器学习 课程概述： 欢迎参加《从零开始学习R语言数据科学与机器学习》课程！在这个实践性强的课程中，您将学习如何用R编程，并有效地进行数据分析和可视化，掌握如何实际运用这些数据。您将学习安装和配置所需的软件，理解高阶统计语言中的通用编程概念。我们的主要目标是不仅让您理解R编程语言的细节，还要帮助您成为一名专业的数据科学家并找到第一份工作。 课程内容涵盖了统计计算中的实际问题，包括R编程、数据导入、R包访问、函数编写、代码调试和分析、以及组织和注释R代码。课程将理论与实践相结合，从R语言基础知识带您走向熟练掌握。虽然理论是建立坚实基础的重要部分，但我们明白光靠理论是不够的，因此课程充满了可以逐步跟随的实践示例。无论您是否已有一些编码经验，或者想学习R编程语言的高级特性，这门课程都适合您！ R编码经验在数据科学家、机器学习工程师、大数据工程师、IT专家、数据库开发人员等职位中都是必需的或推荐的。将R语言技能添加到您的简历中，将有助于您在这些需要掌握统计技术的数据专业领域中脱颖而出。 课程将涵盖六个主要领域： 1. 数据科学与机器学习入门 - R语言简介 - 数据科学行业与市场 - 工作机会与薪资 - 数据科学职位角色 2. R中的数据类型和结构 - 向量、矩阵、列表、数据框 - 操作符、循环、函数、数据库等 3. R中的数据操作 - 处理整洁数据 - 管道操作和dplyr动词 - 字符串操作，网页抓取 4. R中的数据可视化 - 美学映射 - 单变量和双变量绘图 - 面板、分层和坐标系统 5. 机器学习 - 机器学习简介 - 数据预处理 - 线性回归、逻辑回归、支持向量机 - K均值聚类、集成学习、自然语言处理、神经网络 6. 开启数据科学职业生涯 - 创作简历、个人品牌 - 自由职业与自由职业网站 - 创建个人网站、建立人脉 在课程结束时，您将成为一名专业的数据科学家，能够自信地申请工作，并认识到自己拥有的技能和知识。
Welcome to the Learn Data Science and Machine Learning with R from A-Z Course!In this practical, hands-on course you'll learn how to program in R and how to use R for effective data analysis, visualization and how to make use of that data in a practical manner. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.Our main objective is to give you the education not just to understand the ins and outs of the R programming language, but also to learn exactly how to become a professional Data Scientist with R and land your first job.The course covers practical issues in statistical computing which include programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting on R code. Blending practical work with solid theoretical training, we take you from the basics of R Programming to mastery.We understand that theory is important to build a solid foundation, we understand that theory alone isn't going to get the job done so that's why this course is packed with practical hands-on examples that you can follow step by step. Even if you already have some coding experience, or want to learn about the advanced features of the R programming language, this course is for you!R coding experience is either required or recommended in job postings for data scientists, machine learning engineers, big data engineers, IT specialists, database developers and much more. Adding R coding language skills to your resume will help you in any one of these data specializations requiring mastery of statistical techniques.Together we're going to give you the foundational education that you need to know not just on how to write code in R, analyze and visualize data but also how to get paid for your newly developed programming skills.The course covers 6 main areas:1: DS + ML COURSE + R INTROThis intro section gives you a full introduction to the R programming language, data science industry and marketplace, job opportunities and salaries, and the various data science job roles.Intro to Data Science + Machine LearningData Science Industry and MarketplaceData Science Job OpportunitiesR IntroductionGetting Started with R2: DATA TYPES/STRUCTURES IN RThis section gives you a full introduction to the data types and structures in R with hands-on step by step training.VectorsMatricesListsData FramesOperatorsLoopsFunctionsDatabases + more!3: DATA MANIPULATION IN RThis section gives you a full introduction to the Data Manipulation in R with hands-on step by step training.Tidy DataPipe Operatordplyr verbs: Filter, Select, Mutate, Arrange + more!String ManipulationWeb Scraping4: DATA VISUALIZATION IN RThis section gives you a full introduction to the Data Visualization in R with hands-on step by step training.Aesthetics MappingsSingle Variable PlotsTwo-Variable PlotsFacets, Layering, and Coordinate System5: MACHINE LEARNINGThis section gives you a full introduction to Machine Learning with hands-on step by step training.Intro to Machine LearningData PreprocessingLinear RegressionLogistic RegressionSupport Vector MachinesK-Means ClusteringEnsemble LearningNatural Language ProcessingNeural Nets6: STARTING A DATA SCIENCE CAREERThis section gives you a full introduction to starting a career as a Data Scientist with hands-on step by step training.Creating a ResumePersonal BrandingFreelancing + Freelance websitesImportance of Having a WebsiteNetworkingBy the end of the course you'll be a professional Data Scientist with R and confidently apply for jobs and feel good knowing that you have the skills and knowledge to back it up.
