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所在平台: Udemy |
课程主页: https://www.udemy.com/course/r-programming-application-in-data-visualization-and-gis/
课程评论：没有评论
课程名称：使用 R 进行 GIS 建模 课程概述：数据分析需要大量的研究，但有没有什么方法可以让这个过程更轻松？R 编程语言为创建项目和模型提供了支持，这些项目和模型依赖于数据。研究人员利用 R 来建立商业模型和进行数据分析。该课程对研究学者及希望成为数据科学家的人员非常有帮助。自1995年以来，R 已成为全球数据科学家中最受欢迎的编程语言。课程涵盖了多个数据包和函数，使其成为数据科学家的理想编程语言。R 提供了一个优秀的平台用于数据分析、数据整理、数据可视化、机器学习及开源应用。课程内容包括从传统统计学到高级统计学及 GIS 应用，如模型、图形描述统计、数学趋势建模和空间图。R 被设计为一个工具，帮助科学家分析数据，并具有许多出色的功能，可以根据数据绘制图形和拟合模型。因此，许多统计学家学习使用 R，就像学习软件一样，找出哪些函数满足他们的需求，忽略其他部分。该课程分为两个部分：第一部分是数据可视化，第二部分是 R 中的 GIS，课程中使用了实际数据集进行教学。
Analysing data requires a lot of research. But do you know anything that can make it easier? R is used to create projects and models. These projects are dependent on data. Researchers use this programming language to create business models and perform data analysis functions. This course benefits research scholars and those who want to be data scientists. R has been around since 1995, becoming the most popular programming language among data scientists worldwide. This course includes several data packages and functions, making it an attractive programming language for data scientists. R gives an excellent platform for data analysis, data wrangling, data visualisation, machine learning and open source. This course covers traditional statistics to advance statistics and GIS applications, such as models, graph descriptive statistics, mathematical trend modelling and spatial plots. R is designed to be a tool that helps scientists analyse data, and It has many excellent functions that make plots and fit models to data. Because of this, many statisticians learn to use R as if it were a piece of software; they discover which functions accomplish what they need and ignore the rest. This course has been divided into two measures part: the first part is the data visualisation, and the second part is the GIS in R. The course has been done on the actual data set.
