Hypothesis tests (Student’s t-test, chi-square test, F-test, Welch test)ĭatabase operations and conditional operationsĪll the video lessons of this course start with a brief introduction and end with a practical example in Excel. Linear correlation and regression forecasting Univariate descriptive analysis (mean, standard deviation, skewness, quantiles, percentiles, IQR)Īdvanced univariate analysis ( outlier detection, rolling measures) With this course, you are going to learn: This course can be attended by both data analysts and marketing experts who need to work with data and surveys. There are several basic and advanced functions you can use to get the best from your data and that’s why Excel is a very useful tool for anybody who needs to crunch data and perform analyses of various kinds. Even if you work with a lot of statistics you’d be surprised at how valuable Excel is for calculating hypothesis tests and the most common metrics you can calculate on a dataset. Excel is a very used tool in several companies and has very powerful data analysis capabilities that can be used by data analysts and marketing experts.
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