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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-statistics-daily/
课程评论：没有评论
课程名称：每日统计学习！ 课程概述：统计学是一门像盐一样的学科，在每一种食物中都不可或缺。统计学涵盖了数据的收集、分析和解释过程，并提供了一个概念框架。它为机器学习和数据挖掘提供了数学基础，广泛应用于科学研究、社会研究以及商业和工业等多个领域。本课程将全面介绍统计学的原则和方法，特别是在数据处理、集中趋势、数据变异性、z分数以及概率等方面。学员将学习中央趋势的均值、中位数和众数，并通过练习题深入理解；还将探讨偏态分布及加权均值的计算方法。课程内容将帮助您理解和解释一组数字的变异性（分布情况），包括如何对数据进行排序和解释标准化考试成绩。 本课程将为您提供开始数据分析所需的信息和技能。您将探讨如何利用事实和统计学。每个主题都将用不同的参数进行解释，以便学习者能够在多种实际场景中应用所学知识。课程中使用的部分图像和内容受到知识共享署名许可（允许重用）的保护，由昆尼皮亚克大学的Frank H Netter呈现。我们对材料进行了调整，添加了更多的支持文件和测验。
Statistics is a subject like salt, needed in every food. The process of gathering, analysing, and interpreting data is all covered by statistics, which also offers a conceptual framework. The mathematical underpinnings for machine learning and data mining are provided by statistics, which is employed in many fields of scientific and social study as well as in business and industry. The principles and methods of statistics as they are used in a wide range of fields will be thoroughly introduced to students in this course, especially data shaping, central tendency, data viability, z-scores and most importantly the probability! for the central centendency mean, median, and mode are illustrated along with practice problems; and skewed distributions are explained, as well as how to calculate the weighted mean. For the data viability, this course will help you to understand and explain variability (spread) in a set of numbers, including how to rank data and interpret data such as standardized test scoresThe information and abilities you need to begin data analysis are given to you in this course. You'll investigate ways to utilise facts and utilise statistics. Each topic is explained with various parameters so that learners can use the command in many practical scenarios. Some images/ contents used in this course are under license: Creative Commons Attribution licence (reuse allowed), presented by Frank H Netter at the Quinnipiac University. We adapted the material, added more supporting files, and quizzes.
