|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/random-variables-probability-distributions/
课程评论：没有评论
**课程名称：** 统计学实践：概率与随机变量 **课程概览：** 本课程旨在帮助学员掌握统计学题目的解题技巧，在全球拥有超过100个国家的学员。课程以其详尽且易于理解的解题步骤获得了学员的高度评价。 课程内容涵盖了统计学的核心概念，包括： * 排列组合基础 * 概率（样本空间与事件） * 概率（公理与性质） * 条件概率与贝叶斯定理 * 概率：独立事件 * 离散型随机变量的概率分布 * 离散型随机变量的期望值 * 二项分布 * 连续型随机变量的概率密度函数 * 连续型随机变量的累积分布函数与期望值 * 均匀分布 * 正态分布 **目标学员：** 本课程特别适合已经掌握了统计学基本概念，但希望通过大量例题练习来巩固知识、填补理解空白并提升解题信心的学员。 **课程特色：** 课程强调以简单、分步的方式展示解题思路，帮助学员建立解题信心，并能逐步掌握如何解决各类统计学问题。学员在学习过程中可随时发起讨论或私信讲师，获得帮助。
This course is the key to learn how to crack statistics questions. It has students from over 100 countries and here is what some of them have to say about this Statistics course: I already knew the basics of these concepts but I was struggling with the questions. This course has very well explained solutions - Ananya NathThis is my third course with this instructor. He saved my Statistics exam. Big thank you! - Vidit KumarWell explained, step by step - Francisco SanchezThe sole purpose of this course is to make you feel more confident in solving statistics questions by showing you the approaches involved in a simple and step by step manner. This statistics course has step by step solutions to help you get into the flow of cracking statistics questions related to the following concepts:Basics of Permutations and CombinationsProbability (Sample space and events)Probability (Axioms and Properties)Conditional Probability and Bayes' TheoremProbability: Independent EventsProbability Distributions for Discrete Random VariablesExpected Values for Discrete Random VariablesThe Binomial Probability DistributionProbability Density Function for Continuous Random VariablesCumulative Distribution Functions and Expected Values for Continuous Random VariablesUniform DistributionNormal DistributionThis course is apt for students who already have basic understanding of these topics and are looking for some solved questions to practice along and to fill in the understanding gaps.All that said, if you would like to discuss something while you are learning, please feel free to start a discussion or PM me. I would be happy to help.
