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所在平台: Udemy |
课程主页: https://www.udemy.com/course/certificate-in-data-analysis-using-r-programming/
课程评论：没有评论
Coursera 上的“R 编程数据分析证书”课程将带您完成数据分析的整个流程。您将学习如何清理、处理、汇总、描述、可视化和分析数据。 本次课程涵盖了多种统计方法，包括 t 检验、方差分析 (ANOVA)、卡方检验和线性回归。课程中的所有示例都使用了 R 内置的数据集，这意味着您可以随时随地复现和练习。 通过循序渐进的教学，您将不再觉得学习统计是一件困难或令人生畏的事情。课程旨在让您在掌握 R 编程的同时，也能轻松创建出色的图形和图表。此外，您还将深入理解假设检验的原理，熟练掌握统计测试的操作方法，并学会如何准确解读统计测试结果。 课程采用的教学方法将确保您的学习过程充满乐趣和动力，让您对新掌握的技能感到兴奋。 **学习目标：** * 熟练掌握 R 编程。 * 创建高质量的数据可视化图表。 * 理解并应用假设检验原理。 * 执行常见的统计测试。 * 准确解释统计测试的输出结果。
This R programming course will take you through the end-to-end process of data analysis, including cleaning, manipulating, summarizing, describing, visualizing and analysing your data. The data analysis section includes the t-test, ANOVA, chi-squared test and linear regression. Every lesson includes examples using data that is built into R (so you already have access to the data). That means that you'll be able to replicate absolutely every example in the course.Learning statistics doesn't need to be difficult or scary. In this course you'll be brought through the process in a step-by-step fashion. The fact that all of the examples used in the course use datasets that are built into R means that you can practise each set of skills in your own time before moving onto the next step.By the end of the course you'll feel completely comfortable with R programming. You'll be able to create incredible graphs and plots. You'll understand the principles of hypothesis testing and how to perform statistical tests. Importantly, you'll understand how to interpret the results of statistical tests. The teaching methods used in this course are designed to keep you engaged and make sure that you're excited about your new skills.Good luck… and ENJOY!!
