DASC 489H2 — Honors Data Science Practicum I
Application of data science, analytics, business intelligence, data mining, machine learning, and data visualization to existing problems. Data Science techniques using current and relevant software and problem-solving methods are applied to current problems for presentation to management. This is the first semester of the required full-year multi-college interdisciplinary practicum using real-world data to solve real-world problems. Pre- or Corequisite: DASC 32103 , ( DASC 411H3 or DASC 41103 ), and DASC 41203 . Prerequisite: DASC 21103 , DASC 22103 , ( DASC 32003 and DASC 32103 with a grade of C or better), (( STAT 30133 or INEG 23104 ) and ( STAT 30043 or INEG 23203 )), honors standing, and student must be a DTSCBS major. (Typically offered: Fall) This course is equivalent to DASC 48902 .
Prerequisites: DASC 21103, DASC 22103, DASC 32003, DASC 32103, STAT 30133, INEG 23104, STAT 30043, INEG 23203