- Online
- $950
This course is part of the UBC Micro-certificate in Health Data Analytics: Opportunities and Applications program. The program consists of three courses that can be taken individually or combined into the Micro-certificate.
Health Data Analysis and Machine Learning will help you gain proficiency in using WEKA for data handling, analysis, visualization, and executing machine learning processes. The course covers visualizing datasets and data reduction, and introduces foundational concepts including principal component analysis and data clustering. You will become familiar with essential machine learning terms, practice basic algorithms, and gain introductory knowledge of Natural Language Processing (NLP) and feature extraction techniques.
By the end of the course, you will be able to:
- master the usage of WEKA for data preprocessing, analysis, visualization and implementation of machine learning algorithms
- provide multiple views, deal with complexity and describe the pros and cons of various ways to perform data reduction
- introduce principal component analysis and data clustering
- learn basic machine learning terminology
- perform simple machine learning algorithms
- develop a basic understanding of NLP and feature extraction techniques.
Course activities include readings, videos, tutorials, virtual small group discussions and online discussion boards.