Course Overview
This hands-on course follows on from MATH 1060 - Statistics for Data Analysis and introduces advanced techniques and tools used in the field of data analytics. Through a variety of exercises, students will practice using general classification and predictive analysis methods. Labs and projects will use R Programming language packages as a statistical analysis tool for advanced statistical computing and data mining techniques. Scientific data analysis methods will also be discussed. Participants have an introduction to mathematical principles of Artificial Intelligence and Machine Learning (AI/ML). MATH 3060 is a prerequisite for COMP 4254-Advanced Topics in Data Analysis and a required course in BCIT Computing's Applied Data Analytics Certificate (ADAC). Upon successful completion, students will be able to effectively collect and explore large and small data sets to apply appropriate statistical methods for data mining, and data analysis to discover patterns and trends with a focus on data quality.
Prerequisite(s)
- 60% in MATH 1060
Credits
4.0
- Not offered this term
- This course is not offered this term. Notify me to receive email notifications when the course opens for registration next term.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Compute confidence regions and perform basic hypothesis testing with multivariate normal distributions.
- Perform dimensionality reduction of high-dimensional data sets using principal component analysis.
- Describe principles of various regression and classification/clustering algorithms.
- Describe different clustering algorithm methods, with a focus on K-Means Clustering and DBSCAN Clustering.
- Describe principles of various time series analysis methods.
- Apply appropriate time series analysis for problems at hand.
- Apply basic Bayesian statistics in decision making and risk assessment.
- Describe principles of neural network algorithms.
- Use the R Programming language packages for statistical computing, data mining and data analysis.
- Describe basic mathematical principles of Artificial Intelligence and Machine Learning (AI/ML).
Effective as of Spring/Summer 2025
Programs and courses are subject to change without notice. Find out more about BCIT course cancellations.