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所在平台: Udemy |
课程主页: https://www.udemy.com/course/statistics_basic_english-edition/
课程评论：没有评论
课程名称：统计学入门（英语版） 课程概述：本课程是一个基础课程，旨在帮助我们高效学习统计学的基本概念。该课程是原版在日本市场选择的英语版本，受到超过28,000人的青睐。特别注意：课程脚本和幻灯片基于翻译的英语版本，音频由AI生成。我们将标准化数据并检查其特征，计算数据的置信区间，并评估调查结果是否具有统计显著性。在商业世界中，统计素养变得至关重要，尤其是在AI/机器学习广泛应用和数字化转型（DX）的强烈需求下，相关情况预计将增加。 本课程旨在确保我们具备统计素养和概率思维，以应对这些情境。我们将仔细探讨统计学的基础知识，包括“概率分布、估计和假设检验”。通过学习“概率分布”，我们将培养统计视角和概率思维；学习“估计”将帮助我们从数据（样本）讨论总体，而理解“检验”将促使我们形成统计假设思维。课程特别针对统计学初学者，使用丰富的图示和文字解释，使数学公式和符号保持在必要的最小限度，确保初学者也能自信学习。 让我们一起抓住这个机会，获取终身的统计知识！（注意：本课程不涉及Excel、R或Python等工具或软件的使用。） 我们将共同学习的内容： - 基本的统计素养 - 统计学中的“描述性统计”知识 - 统计学中的“概率及概率模型”理解 - 统计学中的“点估计”和“区间估计”理解 - 统计学中的“统计假设检验”理解 - 通过丰富的图示和解释理解统计学 - 与统计相关的视觉图像 - 通过可下载的幻灯片材料增强记忆
This is a basic course designed for us to efficiently learn the fundamentals of statistics together! (The English version* of the statistics course chosen by over 28,000 people in the Japanese market!")*Note: The script and slides are based on the original version translated into English, and the audio is generated by AI."Let's make sure to standardize the data and check its characteristics.""Could we figure out the confidence interval for this data?""Let's check if the results of this survey can be considered statistically significant."In the business world, there are many situations where statistical literacy becomes essential.With the widespread adoption of AI/machine learning and a strong need for DX/digitalization, these situations are expected to increase.This course is aimed at ensuring we're well-equipped with statistical literacy and probabilistic thinking to navigate such scenarios.We'll carefully explore the basics of statistics, including "probability distributions, estimation, and hypothesis testing."By understanding "probability distributions," we'll develop a statistical perspective and probabilistic thinking.Learning about "estimation" will enable us to discuss populations from data (samples), and grasping "testing" will help us develop statistical hypothesis thinking.This course is tailored for beginners in statistics and will explain concepts using a wealth of diagrams and words, keeping mathematical formulas and symbols to the minimum necessary for understanding.It's structured to ensure that even beginners can learn confidently.Let's seize this opportunity to acquire lifelong knowledge of statistics together!(Note: Please be aware that this course does not cover the use of tools or software like Excel, R, or Python.)What we will learn together: Basic statistical literacy Knowledge of "descriptive statistics" in statisticsUnderstanding of "probability" and "probability models" in statisticsUnderstanding of "point estimation" and "interval estimation" in statisticsUnderstanding of "statistical hypothesis testing" in statisticsComprehension of statistics through abundant diagrams and explanationsVisual imagery related to statisticsReinforcement of memory through downloadable slide materials
