Course: Critical Evaluation in Data Science: Data, the World, and You

This video examines how methodological flaws can impact the reliability of research results through the lens of a real-world experiment into online dating behaviours conducted on the Tinder dating app. …

Now that you understand the basics of what over-extrapolation is, it’s time to consider some examples of where this has occurred in real-life situations. One example is that of Moore’s …

In this video, Dr Melissa Humphries introduces the concept of generalisability in research, which refers to the extent to which study results can be applied to a larger population than …

In the age of information overload, we must be critical of the media we consume and discern fact from fiction. Misleading articles, driven by sensationalism and a thirst for clicks, …

In this video, Ashley Dennis-Henderson defines the terms ‘population’, and ‘sample’ as they relate to statistics and data science. You will develop a foundational understanding of sampling methods and their …

‘$17 million was wasted due to food stamp fraud in the US.’ How do you feel about the headline above? Does it feel like it includes a misleading statistic? If …

In this video, Dr Melissa Humphries introduces the concept of filter bubbles, which are the result of algorithms that personalise the information we see online. The video explores how filter …

In this video, Dr Melissa Humphries explores some different kinds of response bias that can undermine survey results. You will learn about voluntary bias, which occurs when people volunteer to …