Computing Descriptive Statistics Using Prompt Engineering

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. Statistics is a branch of mathematics that involves the collection, analysis, interpretation, presentation, and organization of data. It provides a framework for making inferences and drawing generalizable conclusions from observed information and it offers great tools to uncover patterns, trends, and relationships within datasets. Begin this course by exploring two important types of statistics – descriptive and inferential statistics. Next, learn how to compute and interpret descriptive statistics in code, including measures of central tendency and dispersion, mean and median, and range. Then use generative artificial intelligence (AI) tools to help interpret visualizations and understand the nuance between the different statistical measures and when you would choose to use them. After completing this course, you will have a solid understanding of how to calculate, interpret, and visualize descriptive statistics using Python and be able to leverage prompt engineering to help with implementation and interpretation.