WDA 202 - Descriptive Analytics

1 course unit

The goal of this course is to help students learn a variety of statistical tools useful in summarizing past events and information. Students will learn how to transform raw data into descriptive summaries that can be easily presented and understood. The course will cover Aggregate Analysis, Correlation, Trends, and Distributions (normal, binomial, chi-square, etc.). Confidence Intervals, Hypothesis Testing, and Sampling (one sample, two sample, many samples, etc.), and Sample Sizing will also be explored, with the goal of enhancing the student’s ability to convey statistical information to others. The conclusion of the course will include an introduction to Estimation (including bias and error), and Simple Linear Regression.