(3 units). Analysis and design of various data cleaning, wrangling, blending, and visualization, statistical inference, classification, clustering, regression, and content analysis methods. Use of machine learning algorithms to extract meaningful information from data to make decisions. Formulating analytics problems for business and developing, evaluating, and maintaining machine learning models. Analyzing, generating, and communicating insights on the models. Hands-on experience with an integrated set of current data analytics, data mining, and machine learning tools. Course Component: Lecture Courses CSI 5155, CSI 5387, DTI 5125, DTI 5126, DTO 5120, GNG 5125, MIA 5126, SYS 5170 cannot be combined for units
(3 units). Analysis and design of various data cleaning, wrangling, blending, and visualization, statistical inference, classification, clustering, regression, and content analysis methods. Use of machine learning algorithms to extract meaningful information from data to make decisions. Formulating analytics problems for business and developing, evaluating, and maintaining machine learning models. Analyzing, generating, and communicating insights on the models. Hands-on experience with an integrated set of current data analytics, data mining, and machine learning tools. Course Component: Lecture Courses CSI 5155, CSI 5387, DTI 5125, DTI 5126, DTO 5120, GNG 5125, MIA 5126, SYS 5170 cannot be combined for units
