Synopsis: Concepts and practice in taking “data from the wild”, reading different formats, tidying, and wrangling it into shape for analysis. Building models and making useful visualisations to achieve effective data-driven decision-making.
This course designed by
Professor Dianne Cook
and taught by [Professor Dianne Cook and Dr David] is an introductory course for Data Science in R. It covers concepts like tidy data principles, advanced data visualization, analyzing text data, data scraping, wrangling and modelling. This course is a part of the training of undergraduate unit in the
Department of Econometrics and Business Statistics, Monash University. Course materials are available on
Github.
Taught as teaching assistant in Semester 2, 2017
Puwasala Gamakumara
Research Fellow
My research interests include data analysis, time series forecasting and computational statistics matter.