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所在平台: Udemy |
课程主页: https://www.udemy.com/course/r-programming-for-statistics-and-data-science/
课程评论：没有评论
课程名称：R 编程与统计与数据科学 课程概述： R 编程与统计与数据科学是一门为希望在数据分析或数据科学领域工作的学生设计的课程。随着数据科学家成为美国最热门的职业之一，学习 R 编程技能变得至关重要。本课程旨在帮助学员从零基础开始，掌握 R 编程和统计分析的完整技能，顺利开展数据科学项目。 这门课程的独特之处在于其循序渐进的学习方式。不论是编程新手还是想要复习 R 的学员，都能在轻松愉快的氛围中学习。课程内容经过严谨编辑，以确保学习效果的高效性和有效性。 内容包括： 1. **基础统计知识**：讲解描述性统计和推断统计的基本概念，包括置信区间、假设检验、回归分析和聚类分析等。 2. **R 编程基础**：快速入门 R 编程，学习数据操作和分析技巧，掌握使用向量、矩阵、数据框和列表进行数据处理。 3. **Tidyverse 工具包**：介绍 R 中最全面的数据操作工具，以模块化的方式处理数据，掌握数据索引、子集化、排序、筛选及数据可视化。 4. **实践和练习**：通过大量实践练习，巩固学习成果。 课程还提供丰富的家庭作业和项目机会，帮助学员深入理解知识。如果在学习过程中遇到困难，可以随时查阅课程视频进行指导。 完成课程后，学员将获得可验证的结业证书，能够在简历和 LinkedIn 个人资料中展示自己在数据操作和分析方面的经验。欢迎加入 R 编程与统计与数据科学的学习旅程！
R Programming for Statistics and Data Science 2023R Programming is a skill you need if you want to work as a data analyst or a data scientist in your industry of choice. And why wouldn't you? Data scientist is the hottest ranked profession in the US.But to do that, you need the tools and the skill set to handle data. R is one of the top languages to get you where you want to be. Combine that with statistical know-how, and you will be well on your way to your dream title. This course is packing all of this, and more, in one easy-to-handle bundle, and it's the perfect start to your journey. So, welcome to R for Statistics and Data Science! R for Statistics and Data Science is the course that will take you from a complete beginner in programming with R to a professional who can complete data manipulation on demand. It gives you the complete skill set to tackle a new data science project with confidence and be able to critically assess your work and others'. Laying strong foundations This course wastes no time and jumps right into hands-on coding in R. But don't worry if you have never coded before, we start off light and teach you all the basics as we go along! We wanted this to be an equally satisfying experience for both complete beginners and those of you who would just like a refresher on R.What makes this course different from other courses? Well-paced learning.Receive top class training with content which we've built - and rigorously edited - to deliver powerful and efficient results. Even though preferred learning paces differ from student to student, we believe that being challenged just the right amount underpins the learning that sticks. Introductory guide to statistics.We will take you through descriptive statistics and the fundamentals of inferential statistics. We will do it in a step-by-step manner, incrementally building up your theoretical knowledge and practical skills. You'll master confidence intervals and hypothesis testing, as well as regression and cluster analysis. The essentials of programming - R-based.Put yourself in the shoes of a programmer, rise above the average data scientist and boost the productivity of your operations. Data manipulation and analysis techniques in detail.Learn to work with vectors, matrices, data frames, and lists. Become adept in ‘the Tidyverse package' - R's most comprehensive collection of tools for data manipulation - enabling you to index and subset data, as well as spread(), gather(), order(), subset(), filter(), arrange(), and mutate() it. Create meaning-heavy data visualizations and plots. Practice makes perfect.Reinforce your learning through numerous practical exercises, made with love, for you, by us.What about homework, projects, & exercises? There is a ton of homework that will challenge you in all sorts of ways. You will have the chance to tackle the projects by yourself or reach out to a video tutorial if you get stuck.You: Is there something to show for the skills I will acquire?Us: Indeed, there is - a verifiable certificate. You will receive a verifiable certificate of completion with your name on it. You can download the certificate and attach it to your CV and even post it on your LinkedIn profile to show potential employers you have experience in carrying out data manipulations & analysis in R. If that sounds good to you, then welcome to the classroom:)
