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所在平台: Udemy |
课程主页: https://www.udemy.com/course/actuarial-statistics-exam-pct3/
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Coursera课程《数理统计 (精算师考试P/CT3/CS1)》旨在帮助学习者深入理解统计学，这门学科是处理数据、提取信息、识别数据生成过程中使用的参数和分布的关键。通过统计学，我们可以解答现实问题并优化工业流程，使其成为科学和商业的基石。 本课程尤其适合精算师，但也适用于所有希望掌握统计学基础知识的学习者。它涵盖了精算师CS1考试的新增内容，包括： * **探索性数据分析 (Exploratory Data Analysis)** * **一般概率论 (General Probability Theory)** * **随机变量 (Random Variables)** * **概率分布 (Probability Distributions)** * **生成函数 (Generating Functions)** * **联合分布 (协方差) (Joint Distributions (Covariance))** * **条件期望 (Conditional Expectations)** * **中心极限定理 (Central Limit Theorem)** * **抽样与统计推断 (Sampling and Statistical Inference)** * **点估计 (Point Estimation)** * **置信区间 (Confidence Intervals)** * **假设检验 (Hypothesis Testing)** * **线性回归与相关性 (Linear Regression and Correlation)** * **方差分析 (Analysis of Variance)** * **贝叶斯统计与可信度理论 (Bayesian Statistics and Credibility Theory)** * **学员提问 (Student Questions)** * **R语言编程入门 (Introduction to R Programming)** 本课程通过对这些核心概念的系统讲解，帮助学习者理解统计学各组成部分及其相互联系，从而建立起坚实的数理统计学基础。
Statistics is all about processing data and extracting information. The information we seek is the parameters and distribution of the random variable that generated the data. Armed with this information we can answer questions about reality and optimize industrial processes. Statistics thus forms the backbone of science and business and this course is designed to help you understand the components of this fundamental subject and how they all fit together. Designed for Actuaries, but applicable for everyone. This course contains the new sections for the CS1 exam.Sections:Exploratory Data AnalysisGeneral Probability TheoryRandom VariablesProbability DistributionsGenerating FunctionsJoint Distributions (Covariance)Conditional ExpectationsCentral Limit TheoremSampling and Statistical InferencePoint EstimationConfidence IntervalsHypothesis TestingLinear Regression and CorrelationAnalysis of VarianceBayesian Statistics and Credibility TheoryStudent QuestionsIntroduction to R Programming
