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Lynda – Statistics Fundamentals – Part 1: Beginning

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Lynda - Statistics Fundamentals - Part 1: Beginning

Lynda - Statistics Fundamentals - Part 1: Beginning
Size: 626 MB | Duration: 2h 6m | Video: AVC (.mp4) 1280x720 30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Beginner | Language: English
Statistics is not just the realm of data scientists. All types of jobs use statistics. Statistics are important for making decisions, new discoveries, investments, and predictions. Whether the subject is political races, sports rankings, shopping trends, or healthcare advancements, statistics is an instrument for understanding your favorite topic at a deeper level. With these beginner-level lessons, you too can master the terms, formulas, and techniques needed to perform the most common types of statistics. Professor Eddie Davila covers statistics basics, like calculating averages, medians, modes, and standard deviations. He shows how to use probability and distribution curves to inform decisions, and how to detect false positives and misleading data. Each concept is covered in simple language, with detailed examples that show how statistics are used in real-world scenarios from the worlds of business, sports, education, entertainment, and more. These techniques will help you understand your data, prove theories, and save time, money, and other valuable resources—all by understanding the numbers.

Topics include:
* Why statistics matter
* Evaluating your data sets
* Finding means, medians, and modes
* Calculating standard deviation
* Measuring distribution and relative position
* Understanding probability and multiple-event probability
* Describing permutations: the order of things
* Calculating discrete and continuous probability distributions
Lynda - Statistics Fundamentals - Part 1: Beginning
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  1. Lynda - 统计学基础:第一部分 统计学不仅是数据科学家的领域。所有类型的工作都需要统计学。统计学对于决策制定、新的发现、投资以及预测都十分重要。无论主体的政治倾向、体育排名、购物习惯或者健康状况,统计学都是用来深入理解你的偏好的工具。通过这套入门级教程,你也可以掌握这些术语、工时和技术,用以执行最常见的统计工作。教授Eddie Davila将会在本教程中讲解统计学的基础知识,如计算均值、模式、标准方差等。他还会讲解如何使用概率和分布曲线执行决策,如何检测错误、误判和误导数据。每个概念都用通俗易懂的语言讲解,并通过详细的案例演示4统计学是用在真正场景中的,这包括商业、体育、教育、娱乐等。这些技术将会帮助你理解数据、证明理论,并节省时间和金钱以及有价值的资源。 主要内容:统计学为何重要;评估你的数据;计算标准方差;测量分布和正相关;理解概率和多事件概率;排列;计算离散和持续性概率分布。
    wilde(特殊组-翻译)9个月前 (08-25)