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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-essential-guide-to-stata/
课程评论：没有评论
课程名称：Stata基础指南 课程概述： 本课程是一个全面的Stata入门教程，旨在帮助您解锁Stata在数据分析中的强大功能。不论您是Stata的新手还是希望提升现有技能的用户，本课程将通过更新的音频内容（2025年）为您提供现代数据分析的全面介绍。您将学习如何处理、探索、可视化和建模复杂数据集，同时培养高效编码的“好习惯”，全面解读输出结果并清晰地呈现结果。从课程的第一节课开始，我们强调实际应用而非复杂的统计理论。课程结束时，您将对使用Stata处理真实数据集的能力充满信心，并能够选择和应用合适的方法进行分析，以及准确解读结果。 您将学习的内容包括： - Stata基础：安装、导航、数据加载和基本管理。 - 数据管理：清理、转换和重构数据，以准备进行分析。 - 数据探索与可视化：摘要、描述性统计以及清晰图表的制作。 - 统计技术：相关性与方差分析、回归（OLS、模型诊断及模型建立）、假设检验、二元结果模型（Logit与Probit）、分数响应模型、分类选择模型（有序Logit与多项Logit）、模拟技术（随机数、模拟）、计数数据模型（Poisson与负二项）、生存分析（参数法、Cox比例风险、参数生存回归）、面板数据分析（长格式数据、滞后、领先、固定/随机效应、Hausman检验）、差异中的差异、工具变量（内生变量、样本选择、非线性内生模型）、流行病学表（队列研究、病例对照研究和匹配病例对照研究）、功效分析（确定样本量、效能和效应量）、矩阵运算（操作符、函数和子脚本）。 适合人群： - 希望获得系统性、实践性Stata概述的初学者。 - 希望扩展其分析工具包的分析师、研究人员和学生。 - 需要有效处理和解读现实数据方法的学术界、商业或政府的专业人士。 先决条件： - 无需具备Stata的先前经验。 - 对基本统计知识的熟悉有益但并非必须。 - 本课程侧重于在Stata中应用统计方法，而不是教授纯粹的统计理论。 通过掌握这些基础内容，您将能够自信地应对各种分析挑战。加入《Stata基础指南》，在您的数据分析旅程中迈出重要一步！
[Updated with new Audio in 2025]Are you ready to unlock the power of Stata for data analytics? Whether you're new to the platform or looking to build on existing skills, this course provides a comprehensive introduction to Stata and its many capabilities in modern data analysis. You'll learn how to manipulate, explore, visualize, and model complex datasets, all while establishing "good practice" habits for efficient coding, thorough interpretation of output, and clear presentation of results.From the very first sessions, I emphasize practical application rather than complex statistical theory. By the end of the course, you'll be confident in your ability to work with real-life datasets in Stata, selecting and applying the right methods for your analyses and interpreting results accurately.What You'll Learn:Foundations of Stata: Installation, navigation, data loading, and basic housekeeping.Data Management: Cleaning, transforming, and restructuring data to prepare for analysis.Data Exploration and Visualization: Summaries, descriptive statistics, and creating clear graphs and charts.Statistical Techniques:Correlation and ANOVARegression (OLS, model diagnostics, and model building)Hypothesis TestingBinary Outcome Models (Logit and Probit)Fractional Response ModelsCategorical Choice Models (Ordered Logit, Multinomial Logit)Simulation Techniques (Random Numbers, Simulation)Count Data Models (Poisson, Negative Binomial)Survival Analysis (Parametric, Cox Proportional Hazard, Parametric Survival Regression)Panel Data Analysis (Long Form Data, Lags, Leads, Fixed/Random Effects, Hausman Test)Difference-in-DifferencesInstrumental Variables (Endogenous Variables, Sample Selection, Non-Linear Endogenous Models)Epidemiological Tables: Cohort studies, case-control studies, and matched case-control studies.Power Analysis: Determining sample size, power size, and effect size.Matrix Operations: Operators, functions, and subscripting in Stata.Who This Course is For"Beginners to Stata who want a structured, hands-on overview of the platform.Analysts, Researchers, and Students looking to expand their analytics toolkit with a robust, professional statistical package.Professionals in academia, business, or government who need efficient methods for real-world data handling and interpretation.Prerequisites:No previous experience with Stata is required.Some familiarity with basic statistics is helpful but not mandatory.This course focuses on applying statistical methods in Stata rather than teaching pure statistical theory.By mastering these essentials, you'll be ready to tackle a wide variety of analytic challenges with confidence. Join me in The Essential Guide to Stata and take a major step forward in your data analytics journey!
