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所在平台: Udemy |
课程主页: https://www.udemy.com/course/r-programming-using-r-for-agriculture-data-analytics/
课程评论：没有评论
课程名称：R 编程：使用 R 进行农业数据分析 概述：本课程旨在通过实际编码练习，帮助学生掌握使用 R 和 RStudio 分析农业数据的技巧。课程为学生提供了全面的数据收集、分析及可重复报告准备的介绍，重点关注环境与农业科学及相关的环境和农业经济学领域，以期为学生提供相关实例。 在课程中，学生将学习识别不同数据类型的合适统计技术，并如何使用 R 软件平台获取和解读结果。课程涵盖多种统计方法，如方差分析（ANOVA）、线性回归、广义线性回归和非参数方法。在线讲座用于解释和说明这些方法，同时提供实用的计算机练习，帮助学生加深对每种方法的理解与掌握。 除了统计方法，课程还介绍了基本的编程概念，使 R 能够用于自动化重复数据管理和分析任务。学生还将接触到 R 的高级图形功能，并学习可重复报告生成的工作流程。 完成本课程后，学生将具备足够的知识和技能，能够在工作场所标准上进行数据分析。课程为进一步学习和应用数据分析技术奠定了坚实的基础，是环境与农业科学或相关领域学生的必修课。 总体而言，本课程旨在为学生在环境与农业科学领域中提供进行数据分析和报告生成的实用技能和知识，这将帮助他们成为未来职业生涯中更有准备的专业人士。
Get The Secrets to use R and RStudio to Analyse your Agriculture Data with Practical Coding ExercisesThe course is designed to provide students with a comprehensive introduction to data collection, analysis, and reproducible report preparation using R and R studio. The course focuses on the context of environmental and agricultural science, as well as environmental and agricultural economics, to provide relevant examples to students.Throughout the course, students learn to identify the appropriate statistical techniques for different types of data and how to obtain and interpret results using the R software platform. The course covers various statistical methods such as ANOVA, linear regression, generalized linear regression, and non-parametric methods. Online lectures are used to explain and illustrate these methods, and practical computer-based exercises are provided to help students develop their knowledge and understanding of each approach.In addition to statistical methods, the course also introduces basic programming concepts that allow R to be used for automating repetitive data management and analysis tasks. Students are also exposed to the advanced graphics capacity of R and learn about the workflow for reproducible report generation.Upon completion of the course, students will have the knowledge and skills necessary to undertake data analysis at a standard that meets most workplace demands using R. This course provides a strong foundation for further study and application of data analysis techniques, making it an essential course for students pursuing careers in environmental and agricultural sciences or related fields.Overall, the course aims to equip students with practical skills and knowledge for data analysis and report generation in the context of environmental and agricultural sciences, which will help them become better-prepared professionals in their future careers.
