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所在平台: Udemy |
课程主页: https://www.udemy.com/course/r-programming-data-science-hands-on-course/
课程评论：没有评论
课程名称：R 编程实用专业化课程（数据科学初级） 概述：R语言被认为是数据科学的通用语言。掌握R编程语言的人才在数据科学领域需求量大，薪资水平高。IEEE多次将R评选为最受欢迎的编程语言之一。几乎所有全球数据科学和机器学习的职位都提到了R语言的熟练程度要求。顶尖大学如麻省理工学院（MIT）都将R纳入了他们的数据科学课程中。随着开源社区用户的不断增长，R能够让您高效地进行复杂的数据分析和数据科学项目，以获取、转换、清洗、分析、建模和可视化数据，从而支持明智的决策。 然而，R的学习曲线相对陡峭！与许多其他课程不同的是，本课程将全面覆盖R编程的基础构件、数据结构，而其他课程往往直接进入机器学习算法和高级内容，而未能彻底理解R编程构件。这种教学方法让许多数据科学家在职业发展中遭遇困难。此外，学习R的真正价值在于向仍在业界进行大型项目工作的经验丰富的专业人士学习，而这种特质在90%的在线培训课程中是缺失的。本课程正是为了解决这些问题而设计，采用独特的方式教授R，使您无法在其他地方找到。本课程由我教授，我是一名在澳大利亚德勤（全球最大的咨询公司）工作的经验丰富的数据科学家，曾参与多个领域（如零售、网络、电信等）中的数据科学项目，具备多种背景的经验，这是其他讲师难以匹敌的。 您将在本课程中学到什么？课程将从数据科学的基础知识开始，强调R的重要性，逐步构建您的概念。在第一部分，我们将从设置R开发环境、R数据类型、数据结构（R脚本的构建块）、控制结构和函数开始。第二部分将带您应用学到的技能开发行业级数据科学应用。您将了解开展数据科学项目和应用开发的思维方式和工作流程。项目重点是开发一个使用R的自动化和稳健的网页抓取机器人。您将有机会探索多种方法，并在设计决策中评估替代方案（这是数据科学家每天做的事情）。您还将接触网页技术，如HTML、文档对象模型、XPath、RSelenium等，这将使您的数据分析技能更上一层楼。课程将逐步指导您从分类网站抓取真实的实时数据，以分析澳大利亚的房地产趋势。这将涉及到使用R的统计和可视化能力进行数据的获取、清洗、转换和分析。每个主题都有详细的实际案例、练习以及基于我多年的经验的含义、细微差别、挑战和最佳实践的解析。 通过本课程，您将获得与现有课程相比无与伦比的经验和视角，使您能够申请数据科学职位，同时也能在更具挑战性的行业级项目中运用R，从而全面提升您的职业生涯。因此，选择报名本课程，让我们一起让您在R编程方面获得前所未有的专精！
R is considered as lingua franca of Data Science. Candidates with expertise in R programming language are in exceedingly high demand and paid lucratively in Data Science. IEEE has repeatedly ranked R as one of the top and most popular Programming Languages. Almost every Data Science and Machine Learning job posted globally mentions the requirement for R language proficiency. All the top ranked universities like MIT have included R in their respective Data Science courses curriculum. With its growing community of users in Open Source space, R allows you to productively work on complex Data Analysis and Data Science projects to acquire, transform/cleanse, analyse, model and visualise data to support informed decision making. But there's one catch: R has quite a steep learning curve! How's this course different from so many other courses? Many of the available training courses on R programming don't cover it its entirety. To be proficient in R for Data Science requires thorough understanding of R programming constructs, data structures and none of the available courses cover them with the comprehensiveness and depth that each topic deserves. Many courses dive straight into Machine Learning algorithms and advanced stuff without thoroughly comprehending the R programming constructs. Such approaches to teach R have a lot of drawbacks and that's where many Data Scientists struggle with in their professional careers. Also, the real value in learning R lies in learning from professionals who are experienced, proficient and are still working in Industry on huge projects; a trait which is missing in 90% of the training courses available on Udemy and other platforms. This is what makes this course stand-out from the rest. This course has been designed to address these and many other fallacies and uniquely teaches R in a way that you won't find anywhere else. Taught by me, an experienced Data Scientist currently working in Deloitte (World's largest consultancy firm) in Australia and has worked on a number of Data Science projects in multiple niches like Retail, Web, Telecommunication and web-sector. I have over 5 years of diverse experience of working in my own start-ups (related to Data Science and Networking), BPO and digital media consultancy firms, and in academia's Data Science Research Labs. Its a rare combination of exposure that you will hardly find in any other instructor. You will be leveraging my valuable experience to learn and specialize R. What you're going to learn in this course? The course will start from the very basics of introducing Data Science, importance of R and then will gradually build your concepts. In the first segment, we'll start from setting up R development environment, R Data types, Data Structures (the building blocks of R scripts), Control Structures and Functions. The second segment comprises of applying your learned skills on developing industry-grade Data Science Application. You will be introduced to the mind-set and thought-process of working on Data Science Projects and Application development. The project will then focus on developing automated and robust Web Scraping bot in R. You will get the amazing opportunities to discover what multiple approaches are available and how to assess alternatives while making design decisions (something that Data Scientists do everyday). You will also be exposed to web technologies like HTML, Document Object Model, XPath, RSelenium in the context of web scraping, that will take your data analysis skills to the next level. The course will walk you through the step by step process of scraping real-life and live data from a classifieds website to analyse real-estate trends in Australia. This will involve acquiring, cleansing, munging and analyzing data using R statistical and visualisation capabilities. Each and every topic will be thoroughly explained with real-life hands-on examples, exercises along with disseminating implications, nuances, challenges and best-practices based on my years of experience. What you will gain from this course will be incomparable to what's currently available out there as you will be leveraging my growing experience and exposure in Data Science. This course will position you to not only apply for Data Science jobs but will also enable you to use R for more challenging industry-grade projects/problems and ultimately it will super-charge your career. So take the decision and enrol in this course and lets work together to make you specialize in R Programming like never before!
