Computing for Data Analysis

This course is about learning the fundamental computing skills necessary for effective data analysis. You will learn to program in R and to use R for reading data, writing functions, making informative graphs, and applying modern statistical methods.

Review by A+BE PhD candidate
'Although I would highly recommend this course since I used it as discipline-related course to enrich my research, I acknowledge that it is not targeted to PhD candidates from Architecture. Coursera platform focuses mostly on subjects of Computer Science. The course is at MSc level and from a North American university with good reputation.

"Computing for Data Analysis" is an introductory course to R programming language. R is used for statistical data analysis and is more "programmable" than SPSS (and thus more flexible). The tutor also provides resources to continue learning and further mastering the language on self pace. This course is very useful to PhD candidates who handle big data sets in their research.'

Course at a Glance

MOOC provider
Coursera

University
Johns Hopkins University

Level
MSc

Duration
4 weeks

Courseload
3-5 hours/week

Description
Link to Coursera

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