

Minsek Ko
Prof, ast
Business & Information Tech
301 W. 14th St
Rolla, MO 65409
IST 5520: Data Science and Machine Learning with Python
Examines data science methodologies for scraping, manipulating, transforming, cleaning, visualizing, summarizing, and modeling large-scale data as well as supervised and unsupervised machine learning algorithms applied in various business analytics and data science scenarios. Python libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn are utilized.
Time/Day: 11:00 AM - 11:50 AM MWF Prerequisites: One of Stat 3111, Stat 3113, Stat 3115, or Stat 3117; one of IS&T 1552, IS&T 1562, Comp Sci 1575; for Graduate Students: knowledge of calculus, statistics, and programming. Units: 3 Course Component(s): Lecture |
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Attention Distance Students
For live class lectures, you will log in using the Zoom UM System link in Canvas. For accessing class recordings, you will need to contact your instructor directly.
Enrollment Information | ||||
Campus | Delivery Mode | Class Status | Class Nbr | Section |
Distance Education | Online | OPEN | 72718 | 102 |
Course Access Information | ||||
Learning Management System | Canvas |