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所在平台: Udemy |
课程主页: https://www.udemy.com/course/statistics-intro/
课程评论：没有评论
**课程名称：** 统计学：分步入门 (Statistics: A Step-by-step Introduction) **课程概述：** 本课程旨在教授统计学入门的核心知识，重点在于掌握比例、均值和分类数据的假设检验。通过创新的光板技术，提供10小时的面对面视频讲座，并配有包含关键术语、示例和解释的补充讲义。课程设置了19个测验和9项带答案的作业，以巩固学习效果。 **学习内容：** * **数据描述与可视化：** 学习描述不同类型数据的常用术语，以及常用图表的应用。 * **概率论基础：** 掌握随机变量、概率质量函数、累积分布函数和二项分布等概念。 * **正态分布：** 理解正态分布的重要性，并学习如何使用Z分数和Z表计算概率。 * **假设检验概念：** 深入理解第一类错误、Alpha值、临界值和P值。 * **比例的假设检验：** 学习如何对一个或两个比例进行Z检验。 * **均值的假设检验：** 学习如何对一个或两个均值进行T检验。 * **置信区间：** 掌握比例和均值的置信区间计算，以及假设检验与置信区间之间的联系。 * **卡方检验：** 学习如何进行卡方拟合优度检验，以及同质性和独立性检验。 * **相关性与回归：** 了解相关性和简单线性回归的基础知识。 **适合人群：** * 希望学习统计学基础知识，理解P值和置信区间等概念的学生。 * 正在学习高中或大学统计学入门课程，需要额外解释和详细示例的学生。 * 希望复习和扩展统计学知识，为求职面试做准备的数据科学专业人士。
This course teaches the foundational material of statistics covered in an introductory college course, with a focus on mastering hypothesis testing for proportions, means, and categorical data.The course includes:10 hours of video lectures, using the innovative lightboard technology to deliver face-to-face lecturesSupplementary lecture notes with each lesson covering important vocabulary, examples and explanations from the video lessons19 quizzes to check your understanding9 assignments with solutions to practice what you have learnedYou will learn about:Common terminology to describe different types of data and learn about commonly used graphsBasic probability, including the concept of a random variable, probability mass functions, cumulative distribution functions, and the binomial distributionWhat is the normal distribution, why it is so important, and how to use z-scores and z-tables to compute probabilitiesType I errors, alpha, critical values, and p-valuesHow to conduct hypothesis tests for one and two proportions using a z-testHow to conduct hypothesis tests for one and two means using a t-testConfidence Intervals for proportions and means, and the connection between hypothesis testing and confidence intervalsHow to conduct a chi-square goodness-of-fit testHow to conduct a chi-square test of homogeneity and independence.An introduction to correlation and simple linear regressionThis course is ideal for many types of students:Anyone who wants to learn the foundations of statistics and understand concepts like p-values and confidence intervalsStudents taking an introductory college or high school statistics class who would like further explanations and detailed examplesData science professionals who would like to refresh and expand their statistics knowledge to prepare for job interviews
