DTI 5126 Fundamentals for Applied Data Science
3 units
Digital Transformation and Innovation
Faculty of Engineering
Essential data science concepts relevant to practical applications are covered including: problem formulation; data acquisition; data pre-preprocessing, modeling and statistical analysis. Hands on experience with data science tools and techniques including: supervised and unsupervised machine learning; presentation of results; applications in areas such as accounting, finance, marketing and supply chain management.
Components:
Lecture
Requirements:
Previously Offered Terms:
Fall
Summer
Organized
124 responses
3.93
/ 5
Clear Expectations
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3.95
/ 5
Learned a Lot
124 responses
3.74
/ 5
Fair Assessments
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