DANA 4800: Data Analysis and Statistical Inference

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Course Format Lecture 3.0 h + Seminar 0.0 h + Lab. 1.0 h
Credits 3.0

Course Description

Statistical inference is the process of drawing conclusions from data. Students gain a foundation in probability, descriptive statistics, sampling methods, normal distributions, Poisson distributions, and sampling distributions, as well as one-sample and two-sample statistical inference procedures on both proportions and means (including z and t).

Registration in this course is restricted to students admitted to the Post-Degree Diploma in Data Analytics and Post-Degree Certificate in Data Analytics.

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