Data Analytics & Modelling

This course offers an introduction to data science and machine learning paving the way for students to learn data analytics principles. In particular, this course begins with a brief history of data analytics and data science, followed by regression analysis, regression and classification trees, and ends with introductions to K-means clustering, principal component analysis (PCA). Each lecture has associated with it a practical lab session which students will put theory into practice offering students a hands-on approach to learning the material.      

Note: Check with the institution regarding start/end dates, prices, and delivery method. These may vary according to program, section, and/or semester.