Hands-on application of modern tools and methods for data acquisition, management, visualization, and machine learning, capable of scaling to Big Data. No prior computer programming experience required. Examples will draw from the life sciences. Prerequisite: MBB 222 and one of STAT 201, STAT 203, STAT 205, or STAT 270 with a minimum grade of C- or permission of the instructor. Corequisite: STAT 320. Students who have taken STAT 240, STAT 310, or STAT 440 first may not then take this course for further credit. Quantitative.
Hands-on application of modern tools and methods for data acquisition, management, visualization, and machine learning, capable of scaling to Big Data. No prior computer programming experience required. Examples will draw from the life sciences. Prerequisite: MBB 222 and one of STAT 201, STAT 203, STAT 205, or STAT 270 with a minimum grade of C- or permission of the instructor. Corequisite: STAT 320. Students who have taken STAT 240, STAT 310, or STAT 440 first may not then take this course for further credit. Quantitative.
