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所在平台: Coursera专项课程 课程类别: 计算机科学 大学或机构: CourseraNew |
课程主页: https://www.coursera.org/specializations/data-science-foundations-r
课程评论：没有评论
课程名称：数据科学：使用R专业化的基础 课程概述：本专业旨在帮助学习者提出正确的问题、操纵数据集并创建可视化效果以有效传达结果。课程涵盖数据科学的基础工具和技术，包括获取、清理和探索数据，以及进行可重复的研究。完成该专业的学习者将为参加更高级的数据科学专业（统计与机器学习）的学习做好准备，在该课程中，学习者将使用真实世界的数据构建数据产品。 该专业包含五门课程，这些课程构成数据科学专业的前半部分，专为希望首先学习和掌握基础内容的学习者设计，以便后续能够更加顺利地进入更高级的课程内容。 课程大纲： 1. 数据科学家工具箱：介绍数据科学家的主要工具和概念（提供单位：约翰霍普金斯大学） 课程链接：[数据科学家工具箱](https://www.coursera.org/learn/data-scientists-tools) 2. R编程：学习如何使用R进行编程和有效的数据分析（提供单位：约翰霍普金斯大学） 课程链接：[R编程](https://www.coursera.org/learn/r-programming) 3. 数据获取与清理：学习如何获取和清理数据，以便进行分析（提供单位：约翰霍普金斯大学） 课程链接：[数据获取与清理](https://www.coursera.org/learn/data-cleaning) 4. 探索性数据分析：掌握总结数据的重要探索技术（提供单位：约翰霍普金斯大学） 课程链接：[探索性数据分析](https://www.coursera.org/learn/exploratory-data-analysis) 5. 可重复研究：关注现代数据分析报告中可重复性的重要概念和工具（提供单位：约翰霍普金斯大学） 课程链接：[可重复研究](https://www.coursera.org/learn/reproducible-research) 通过本专业的学习，学生不仅能够掌握基础知识，还能为未来的数据科学实践奠定坚实的基础。
Course Link: https://www.coursera.org/learn/data-scientists-tools
Name:The Data Scientist’s Toolbox
Description:Offered by Johns Hopkins University. In this course you will get an introduction to the main tools and ideas in the data scientist's ... Enroll for free.
Course Link: https://www.coursera.org/learn/r-programming
Name:R Programming
Description:Offered by Johns Hopkins University. In this course you will learn how to program in R and how to use R for effective data analysis. You ... Enroll for free.
Course Link: https://www.coursera.org/learn/data-cleaning
Name:Getting and Cleaning Data
Description:Offered by Johns Hopkins University. Before you can work with data you have to get some. This course will cover the basic ways that data can ... Enroll for free.
Course Link: https://www.coursera.org/learn/exploratory-data-analysis
Name:Exploratory Data Analysis
Description:Offered by Johns Hopkins University. This course covers the essential exploratory techniques for summarizing data. These techniques are ... Enroll for free.
Course Link: https://www.coursera.org/learn/reproducible-research
Name:Reproducible Research
Description:Offered by Johns Hopkins University. This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible ... Enroll for free.
Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers foundational data science tools and techniques, including getting, cleaning, and exploring data, programming in R, and conducting reproducible research. Learners who complete this specialization will be prepared to take the Data Science: Statistics and Machine Learning specialization, in which they build a data product using real-world data. The five courses in this specialization are the very same courses that make up the first half of the Data Science Specialization. This specialization is presented for learners who want to start and complete the foundational part of the curriculum first, before moving onto the more advanced topics in Data Science: Statistics and Machine Learning.
数据科学：使用R专业化的基础：提出正确的问题，操纵数据集并创建可视化效果以传达结果。 本专业涵盖基础数据科学工具和技术，包括获取，清理和探索数据，使用R进行编程以及进行可重复的研究。完成此专业的学习者将准备参加数据科学：统计和机器学习专业，在其中使用真实世界的数据构建数据产品。 该专业的五门课程与构成数据科学专业的前半部分的课程完全相同。本专业专为想要先开始并完成课程基础部分的学习者而设计，然后再转向数据科学中的更高级主题：统计学和机器学习。
