Course: Get ready for a Masters in Data Science and AI

Following on from the previous step, let’s look at a real example of where data has been sensationalised. A few years ago, new evidence (Gunter et al. 2017) suggested that …

In a statistical sense, bias at the collection stage means that the data you have gathered is not representative of the group or activity you want to say something about. …

In the previous step, we used mathematical expressions to transform raw data values. When looking at more complex mathematical expressions, we need to be crystal clear about exactly how the …

The Python code we developed for comparing the values of two dice in the previous step can be modified to study a different kind of dice, called Grime Dice (invented …

Thinking about the ‘scientist’ part of the data scientist’s skill set, we might say that a good scientist is: objective, independent and curious. Scientists also, however, limit their confidence about …

What exactly is programming and how do we get started? Programming is a type of written language that allows us to send instructions to devices and computers to complete specific …

Computers are not very clever, and they don’t do very clever things. They appear to be doing clever things, however, just by doing incredibly simple things very, very fast. How …

What does it meant to be a data scientist? Watch the video to find out what being a data scientist involves – skills, tasks, knowledge and interests – and how …

A variable can store many types of different information, not just numbers. Knowing the different types of values, how we operate on them and how they interact with each other …

We have seen the importance of asking questions in data science. Whether we have a particular question in mind or only a vague idea, questions need to be carefully formulated …

Welcome to the second week in Data Science. Last week, we looked at the sorts of skills a data scientist uses, considered the importance of asking questions in data science, …

While we may have access to lots of existing data, it does not necessarily mean that it will answer the questions we want to ask. Sometimes we will need to …

We have seen that data scientists ask questions with the hope of being able to answer them using data and apply software (or implement algorithms) to process data. The connection …

We have seen that bias and error can affect the quality and representativeness of data collected. But bias also comes into how data is used afterwards in decision-making and how …

The RMS Titanic was a passenger ship which famously sank in the North Atlantic in 1912 after hitting an iceberg. Over the next few steps, you’ll have an opportunity to …