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Statistical Thinking for Data Science (CS105)

Course description

This course is an introductory course in probability and statistics. It lays the mathematical foundation to prepare the students for computer science courses and their applications, in particular data science and related areas such as machine learning and artificial intelligence. The main topics covered in this course include probability, random variables, limit theorems, statistics, regression and inference, coupled with hands-on activities to illustrate their relevance to data science.


Seminar Required

Graded, 1.0 Credit Units

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