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Lynda – Data-Analysis Fundamentals with Excel

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Lynda - Data-Analysis Fundamentals with Excel

Lynda - Data-Analysis Fundamentals with Excel

270MB | Duration: 2h 25m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch

Genre: eLearning | Level: Beginner | Language: English

Microsoft Excel is an important tool for information workers that design and perform data analysis. This course provides an overview of the fundamentals, from performing common calculations to conducting Bayesian analysis with Excel. Author Curt Frye starts with the foundational concepts, including an introduction to the central limit theorem, and then shows how to visualize data, relationships, and future results with Excel's histograms, graphs, and charts. He also covers testing hypotheses, modeling different data distributions, and calculating the covariance and correlation between data sets. The course closes with a look at calculating Bayesian probabilities in Excel.

Topics include:

* Calculating mean and median values
* Analyzing data using variance and standard deviation
* Minimizing errors
* Visualizing data with histograms, charts, and more
* Testing hypotheses
* Measuring covariance and correlation
* Performing Bayesian analysis
Lynda - Data-Analysis Fundamentals with Excel

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  1. Lynda – Excel数据分析基础 微软的Excel是设计和执行数据分析工作的信息处理人士的重要工具。本教程会讲到使用Excel从执行常用的计算到实施贝叶斯分析。作者Curt Frye会先从基本概念将其,包括对中心极限理论的介绍,然后会演示数据、关系和使用Excel的柱状图、图表的可视化。他还会降到测试假设、不同数据分布的建模以及不同数据集之间的计算协方差和相互性。教程还会在最后简单介绍一下贝叶斯概率。 主要内容:计算平均值和中央值;使用方差偏差和标准偏差进行数据分析;错误最小化;使用直方图和图表数据可视化;验证假设;测量协方差和相互性;执行贝叶斯分析。
    wilde(特殊组-翻译)2年前 (2015-03-04)