Unlock big data.
IRIS’ Big Data: Covid-19 introduces to students to the art of data science through contextual learning.
Prepare & launch: Teachers get ready and launch Big Data: Covid-19, using our helpful guidance documents.
Background research & skills development: With access to our support materials, students develop the knowledge and skills required to successfully complete research. This includes seminars and training packages on the virology of COVID-19 and epidemiology analysis using Excel and ‘R’, a mathematical statistics package.
Student research: Students explore the global COVID-19 database, making correlations and statistical analyses of public health data.
Artefact development and conference: Students produce an article, academic poster presentation or academic paper, based on their research process and/or findings with the aim of exhibiting at IRIS’ conference.
The volume of data available in our modern world is endless. Learning what good data looks like and how to decipher will continue to be a valuable skill.
Big Data: Covid-19 introduces to students to the art of data science through contextual learning. They start by gaining context into SARS-CoV-2, then move onto big data. Lessons involve working with real virology, SARS-CoV-2 data, providing insight into how epidemiologists model pandemics.
Once they’ve got the basics down, budding data scientists get to build their skills using the global Covid database. Students learn to use Excel and its Data Analysis package to develop a narrative using basic statistics, creating linear regressions, and plotting histograms. Once they master this, they move onto R, a mathematical statistics programming language.
A new, a vast, and a powerful language is developed for the future use of analysis, in which to wield its truths so that these may become of more speedy and accurate practical application for the purposes of mankind than the means hitherto in our possession have rendered possible.