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所在平台: Udemy |
课程主页: https://www.udemy.com/course/statistics-made-simple-from-zero-to-data-savy/
课程评论：没有评论
课程名称：从零开始掌握统计学：成为数据专家 课程概述：该84课时的统计学课程旨在循序渐进地帮助学员建立统计知识，从最基础的概念开始，逐步深入到高级主题。课程内容涵盖数据类型、抽样技术、推论统计和假设检验等，旨在通过实际案例、Excel演示和清晰的视觉辅助，简化复杂的统计学主题，帮助学员不仅理解统计学，更能自信地运用它。 选择该课程的15个理由： - 掌握统计学基础知识，包括关键术语、数据类型和现实数据收集中使用的抽样技巧。 - 学习如何通过频数表、直方图、箱形图、多边形和累积分布图来组织和直观展示数据，并通过实用的Excel演示来巩固技能。 - 深入理解集中趋势（均值、中位数、众数）和变异度量（范围、中位数差、方差、标准差），包括如何手动和在Excel中计算及解释它们。 - 探索Z-score、异常值和经验法则，以理解数据分布并识别不寻常的观察值。 - 建立概率论的基础知识，包括“或”、“和”及条件概率，并运用列联表评估事件之间的关系。 - 研究离散概率分布，包括如何计算期望值和标准差，重点关注二项分布及Excel应用。 - 学习连续概率分布，如均匀分布和正态分布，并使用Excel工具计算百分位、Z-score和相关概率。 - 了解并应用中心极限定理，以进行均值和比例的抽样分布推论。 - 学习如何构建和解释置信区间，理解假设检验的逻辑和程序，包括如何找到临界值。 - 进行基于比例的推论，包括置信区间以及单尾和双尾假设检验，以及两比例的比较。 - 使用t分布对总体均值进行推论，包括假设检验和置信区间的构建，适用于总结数据和原始数据。 - 识别和执行配对样本和双样本均值的假设检验，以比较依赖和独立组。 - 使用相关性和回归分析分析变量之间的关系，包括计算回归方程、估计值以及对回归斜率进行检验。 - 探讨分类数据分析，使用卡方检验，包括标准差检验、拟合优度检验和独立性检验。 - 利用Excel的数据分析工具包进行ANOVA检验，以比较多个均值，并通过全面复习会巩固描述统计、概率和推论方法的核心概念。 您还将获得： - 终身访问“成为概率与统计大师”课程 - Q&A部分的友好支持 - 可以下载的Udemy完成证书 - 30天退款保证 通过Excel的实践演示，您不仅能够学习这些概念，还能将其应用于现实场景。到课程结束时，您将不仅理解统计学，还能够利用统计学进行更好的决策、有效分析数据，并清晰地传达您的见解。该课程由著名讲师Tyler Wallace授课。
This 84-lessons statistics course is structured to build your knowledge progressively-starting with the absolute basics and moving toward advanced topics. It covers everything from types of data and sampling techniques to inferential statistics and hypothesis testing. Each lecture is designed to simplify complex topics using real-life examples, Excel demonstrations, and clear visuals to help you not just understand statistics, but apply it with confidence. 15 reasons to take this course:Master the fundamentals of statistics, including key vocabulary, types of data, and essential sampling techniques used in real-world data collection.Learn how to organize and visually display data through frequency tables, histograms, box plots, polygons, and ogives, with practical Excel demonstrations to reinforce skills.Gain a solid understanding of central tendency (mean, median, mode) and variability measures (range, IQR, variance, standard deviation), including how to calculate and interpret them manually and in Excel.Explore Z-scores, outliers, and the Empirical Rule to understand data distribution and identify unusual observations.Build foundational knowledge of probability theory, including OR, AND, and conditional probabilities, and work with contingency tables to evaluate event relationships.Dive into discrete probability distributions, including how to compute expected values and standard deviations, with a strong focus on binomial distributions and Excel applications.Study continuous probability distributions, such as the uniform and normal distributions, and use Excel tools to calculate percentiles, Z-scores, and related probabilities.Understand and apply the Central Limit Theorem to sampling distributions for both means and proportions, enabling inference from sample data.Learn how to construct and interpret confidence intervals and grasp the logic and procedures behind hypothesis testing, including how to find critical values.Perform proportion-based inference, including confidence intervals and one- and two-tailed hypothesis tests, as well as comparisons between two proportions.Conduct inference for population means using the t-distribution, including hypothesis testing and confidence intervals with both summary and raw data.Identify and execute matched pairs and two-sample hypothesis tests for means to compare dependent and independent groups.Analyze relationships between variables using correlation and regression analysis, including calculating regression equations, estimating values, and conducting tests on regression slopes.Explore categorical data analysis using chi-square tests, including tests for standard deviation, goodness of fit, and independence with contingency tables.Utilize Excel's Data Analysis Toolpak to conduct ANOVA tests for comparing multiple means and reinforce core concepts through comprehensive review sessions on descriptive statistics, probability, and inferential methods.YOU'LL ALSO GET:Lifetime access to Become a Probability & Statistics MasterFriendly support in the Q & A sectionUdemy Certificate of Completion available for download30-day money back guarantee With hands-on demonstrations in Excel, you'll not only learn the concepts but also how to apply them in real-life contexts.By the end, you'll not only "get" statistics-you'll be able to use it to make better decisions, analyze data more effectively, and communicate your insights with clarity. This course is thought by renouned instructor Tyler Wallace.
