DTI 5125 Data Science Applications
3 units
Digital Transformation and Innovation
Faculty of Engineering
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.
Components:
Lecture
Requirements:
Previously Offered Terms:
Fall
Winter
Summer
Organized
232 responses
4.38
/ 5
Clear Expectations
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4.38
/ 5
Learned a Lot
233 responses
4.46
/ 5
Fair Assessments
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