Learning Excel: Data-Analysis (2019)

Learning Excel: Data-Analysis (2019)

MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch | Duration: 2h 9m

Genre: eLearning | Language: English + Sub | Size: 248 MB


 

Microsoft Excel is an important tool for data analysis. It helps companies accurately assess situations and make better business decisions. This course helps you unlock the power of your organization's data using the data analysis and visualization tools built into Excel. Author Curt Frye starts with the foundational concepts, including basic calculations such as mean, median, and standard deviation, and provides an introduction to the central limit theorem. He 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. Finally, he reviews the process of calculating Bayesian probabilities in Excel. Each chapter includes practical examples that show how to apply the techniques to real-world business problems.

 

Topics include:

Calculating mean and median values

Analyzing data using variance and standard deviation

Working with sample data

Minimizing errors

Visualizing data with histograms, charts, and more

Testing hypotheses

Measuring covariance and correlation

Performing Bayesian analysis

 

Learning Excel: Data-Analysis (2019)


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