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Data-Analysis Fundamentals with Excel

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Data-Analysis Fundamentals with Excel

Data-Analysis Fundamentals with Excel
AVC (.mp4) 1280x720 15&30fps | AAC 48KHz 2ch
2h 24m Beginner Mar 03, 2015 | 270MB

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
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