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
All Professors
A Average (8.848)
Most Common: A (46%)
184 students
F
D
C
B
A-
A+