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所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-r/
课程评论：没有评论
课程名称：R统计与数据科学大师课程 课程概述：本综合性R课程从基础开始，涵盖向量、矩阵、数据框等内容，为初学者打下坚实基础。现在就开始您的R专家之旅吧！ 课程特点： - 从零基础开始学习R，采用逐步教学的方法 - 通过实际操作锻炼实践经验 - 理解R中的数据结构和数据操作，包括： - 向量 - 矩阵 - 数据框 - 列表 - 数据子集 - 在矩阵上应用apply()函数 - 学习概率分布及R的概率工具： - r函数用于生成随机变量 - d函数用于寻找单个事件的概率 - p函数用于寻找累积概率 - q函数用于寻找百分位数 - 学习在数据科学中常用的概率分布，包括二项分布、几何分布、指数分布、正态分布、泊松分布、伽马分布和均匀分布。 - 终身访问课程资料及更新 目标受众和先决条件：本课程适合所有水平的学习者，假设没有R的先前知识。如果您有一定的编程或数据分析经验，会更有帮助，但我们将从基础知识开始构建！某些部分，尤其是在课程后半部分，将假设您具备基础代数和算术知识。 从R编程的基础开始，掌握R语言，以便您成为一名熟练的数据科学家。
This comprehensive R course starts from the very basics, covering vectors, matrices, data frames, and more, ensuring a solid foundation for beginners. Start your journey to becoming an R expert today!Key Features:Learn R from scratch with a step-by-step approachHands-on exercises for practical experienceUnderstand data structures and data manipulation in R:VectorsMatricesData framesListsSubsetting dataapply() functions on matricesLearn about probability distributions and R's tools for probability.r functions for generating random variablesd functions for finding the probability of single eventsp functions for finding cumulative probabilitiesq functions for finding percentilesLearn about common probability distributions commonly used in data science, including the binomial, geometric, exponential, normal, Poisson, gamma, and uniform distributions.Lifetime access to course materials and updatesTarget audience and pre-requisites:This course is designed for all levels, and assumes no prior knowledge of R. Some experience programming or analyzing data is helpful, but we will build all knowledge from scratch! Some sections, especially in the second half of the course, will assume a foundation in basic algebra and arithmetic.Start with the fundamentals of R programming, and gain proficiency in R to position yourself as a skilled data scientist.
