This course builds on DATA 3200 by exploring key principles and techniques in time series analysis and forecasting, advanced regression, unsupervised and deep learning, feature engineering, and ethical issues. This course is an online class offered through the Lower Cost Models Consortium.
Prerequisite(s): DATA 3200 Principles and Techniques of Data Analytics I and MATH 1600 Calculus I.
DATA 3200 Principles and Techniques of Data Analytics I (3 hours)
This course explores key principles and techniques of data science in Python, including programming foundations, data management, advanced data visualization, integration with SQL, and machine learning. This course is an online class offered through the Lower Cost Models Consortium. The class has optional live sessions.
Prerequisite(s): CMPSC-2100 and DATA-1400.
MATH 1600 Calculus I (5 hours)
An introduction to calculus of a single variable. Topics include limits, continuity, differentiation, and beginning integration with applications. Assignments are given that help build proficiency in the use of a computer algebra system.
Prerequisite(s): Math ACT score of at least 27, or a grade of "C" or better in MATH 1470 Trigonometry or MATH-1400, or permission of the instructor.
(Normally offered each semester.)
Archway Curriculum: Foundational Literacies: Mathematical Problem Solving