Programming in Python With Emphasis On Data Processing, Analysis And Visualization. Basic Concepts in Statistics (mean, Median, Variance, Standard Deviation, Correlation), Clustering Algorithms (k-means, Hierarchical Agglomerative Clustering), Search (ad Hoc Retrieval) And Ranking (the Vector Space Model, Search Evaluation), Classification (knn and Rocchio) Collaborative Filtering and Content-based Recommendation.

Faculty: Industrial Engineering and Management
|Undergraduate Studies

Pre-required courses

(104166 - Algebra Am and 234117 - Introduction to Computer Science H)


Course with no extra credit

94202 - Introduction to Data Analysis in Python


Course with no extra credit (contains)

94201 - Introductio to Data Science


Semestrial Information