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 Dr Nicholas Tierney 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, 2019
Sayani Gupta
PhD candidate
Teaching Associate
Research Assistant
My research interests include visualization, data analysis, time series and forecasting