Crown College
CRWN 155 Methods in Data Science
Explores methods used in Data Science (DS), assuming a strong foundation mathematical and analytical methods relevant to DS. To gain a deeper understanding of the complexities and limitations of these methods, this class focuses on real-life datasets and on challenging assumptions. Students work on practical projects that require creative problem-solving and critical thinking skills. Class provides a valuable opportunity to bridge the gap between theoretical knowledge and real-world applications in the field of Data Science. Topics covered include exploratory data analysis, linear regression, support vector machine, cluster analysis, principal components analysis, and neural networks.
General Education Code
SR
Instructor
Marcela Alfaro-Cordoba