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Module STATISTICAL METHODS FOR DATA SCIENCE 1 (R)

Module code: DS863
Credits: 5
Semester: 1
Department: MATHEMATICS AND STATISTICS
International: No
Overview Overview
 

This course covers probability and statistical techniques for data analytics and data science. Topics include: Exploratory data analysis and visualisation. Probability basics, independence, Bayes theorem. Probability models for data, including Binomial, Poisson, Exponential and Normal. Confidence intervals and hypothesis testing: one and two samples, paired samples, proportions. Case studies in R.

Lectures and labs as for DS663.

Open Learning Outcomes
 
Open Teaching & Learning methods
 
Open Assessment
 
Open Autumn Supplementals/Resits
 
Open Pre-Requisites
 
Open Timetable
 
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