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所在平台: Udemy |
课程主页: https://www.udemy.com/course/revise-basics-of-statistics/
课程评论：没有评论
课程名称：复习统计学基础 课程概述：您是否正在考虑在开始学习数据科学、分析等主题之前测试自己在统计学方面的基础？本课程适合初学者到中级水平，提供简单易懂的解释，通过五个测试帮助您了解自己在统计学关键概念上的掌握程度。 当前课程包括5个测试： 1. **统计学入门**：涵盖数据类型以及描述性统计与推断统计之间的主要区别。 2. **描述性统计**：包括集中趋势的测量（均值、中位数、众数）、离散程度的测量（范围、方差、标准差）以及数据可视化工具，如直方图、箱形图和散点图。 3. **概率基础**：主要关注条件概率和贝叶斯定理。 4. **概率分布**：理解离散和连续概率分布，包括二项分布、泊松分布、正态分布、指数分布以及中心极限定理（CLT）的概念。 5. **推断统计**：测试您对抽样技术、置信区间、假设检验、错误类型、t检验、z检验和卡方检验的基本理解。 后续将添加更多测试。 **课程对象**：该短期测试实践课程旨在帮助人们识别自己对统计学的基本理解，并进一步将其应用于数据科学、分析、机器学习等相关领域。
Are you looking to test your foundation in statistics before you start your journey for subjects like data science, analytics etc ? This beginner-to-intermediate level test practice with simple explanations to understand where you stand when it comes to key concepts in statistics.The course has 5 tests right now: Test 1: Introduction to Statistics - It is based on types of data and key distinctions between descriptive & inferential statistics.Test 2: Descriptive Statistics - It is based on measures of central tendency (mean, median, mode), Measure of dispersion (range, variance, standard deviation) and Data Visualization tools like histograms, box plots, and scatter plots.Test 3: Probability Basics - This mainly focuses on conditional probability and Bayes' theoremTest 4: Probability Distributions - This is based on Understanding Discrete and Continuous Probability distributions which includes Binomial Distribution, Poisson Distribution, Normal Distribution , Exponential Distribution and the concept of Central Limit Theorem(CLT)Test 5: Inferential Statistics - This test will check your basic understanding of sampling techniques, confidence intervals, hypothesis testing, Types of errors , t-tests & z-tests and chi-square testMore tests will be added later. Who Is This Course For? The short course of test practice can help people help to identify their basic understanding of statistics and they can further utilize the same for subjects like Data Science, Analytics, Machine Learning etc
