Enhance your skills in energy statistical analysis with our expanded three-day workshop. Dive deep into crucial topics like risk quantification and pricing models using practical exercises in Excel.

Explore the importance of robust statistics like median and MAD in data analysis, ensuring accurate insights despite outliers ...

Quantile and conditional quantile statistical thinking, as I have innovated it in my research since 1976, is outlined in this comprehensive survey and introductory course in quantile data analysis. We ...

Data-driven advertising should be rooted in real-time consumer data, allowing your brand to not only react to shifting trends ...

Overview Beginner-friendly books simplify Python, R, statistics, and machine learning concepts.Practical examples and projects make data science easier to under ...

As the commission pointed out, just because data is used does not mean that reliable, responsible insight is necessarily ...

Black adults in the U.S. are first hospitalized for heart failure nearly 14 years earlier than white adults, reports a ...

Consumers and policymakers must recognize that the numbers provided by statistical agencies often have significant flaws.

A time series is a sequence of numerical data points in successive order. In investing, it tracks the movement of the chosen data points at regular intervals and over a specified period of time.

S omeone went and Moneyball-ed military history. Data scientist Ethan Arsht applied the principles of baseball sabermetrics ...