An introduction to 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. This course may not be used to satisfy the upper division requirements of the Statistics honours, major, or minor programs. Prerequisite: One of STAT 201, STAT 203, STAT 205, or STAT 270, with a grade of at least C-. Corequisite: MBB 343. Students who have taken STAT 240, STAT 310, or STAT 440 first may not then take this course for further credit. Quantitative.
An introduction to 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. This course may not be used to satisfy the upper division requirements of the Statistics honours, major, or minor programs. Prerequisite: One of STAT 201, STAT 203, STAT 205, or STAT 270, with a grade of at least C-. Corequisite: MBB 343. Students who have taken STAT 240, STAT 310, or STAT 440 first may not then take this course for further credit. Quantitative.
