Statistics

Description

Students learn descriptive and inferential statistical methods with emphasis on sampling design, descriptive statistics, linear regression and correlation. Other areas covered include probability, sampling distributions, hypothesis testing and confidence intervals.

Pre-requisites

• MAT101 - Mathematics for the Computer Sciences

Pre-for

• AIE200 - Neural Networks and Deep Learning
• CSC351 - Data Structures and Algorithms for AI
• PRO355 - Data Analytics Project I

Co-requisites

• No X-Requisite course found