Data Science

In this lesson we will be introduced to data science, and in particular, how visualising data can help us to provide insights that may not be as obvious when looking at raw data.

In this lesson, we will explore how ever-improving advances in technology have made it more feasible to collect, store, and analyse much larger datasets than previously. We will then look at global data sets.

In this lesson, we will learn about the investigative cycle PPDAC (problem, plan, data, analyse, conclusion) and apply part of this cycle to a data set about roller coasters.

In this lesson, we will investigate a problem that we can solve by ourselves. We will take our first steps towards this by working through the earlier stages of the PPDAC investigative cycle.

In this lesson, we will continue to develop our understanding of the investigative cycle by working through the data and analysis steps of the PPDAC cycle. We will upload and cleanse our data before uploading it into the CODAP platform to start our analyses.

In this lesson, we will complete work through the final steps of the PPDAC cycle (analysis and conclusions) and by the end of the lesson we will have used data to make a case for positive change where we live.