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Taking it further

If you are interested in taking your interest in data science further, you might consider one of Birkbeck’s or Coventry’s courses: Birkbeck courses You will receive an accredited qualification from …

How good is the model?

In the last activity we built our first model. It was based on rather simple assumptions about the data, but we still hope that it does a decent job in …

Visualising geolocation data

Now that we have information about a location, we will want to visualise them on a map to give us some idea of the distribution of the tweets. Towns, cities, …

Our first model

In the last step we found a promising pattern in the dimensions of the paintings which seem to fall into two broad clusters. We would like to use this knowledge …

Data cleaning and pre-processing

Now that we have understood a bit about the data we will be analysing and acquired practical skills on using Jupyter notebooks, it is time to think about how we …

Basic visualisation

Before we apply any of the powerful data analysis machinery that is at our disposal, we should first have a good look at our data. We have already seen parts …

Course summary

Congratulations on finishing this course. You have covered a lot of material in two weeks and may already be looking at ways to apply some of these techniques to your …

The software for this course

Before we get started, let’s look over the software you will need to complete the activities in this course. You will be using Jupyter Notebook, an open-source web application that …

Getting to know our data

Our goal in the first week will be to explore a basic data analysis in action. You will be working on a single data set with a single question in …

The ethics of data science

Ethics plays an important role in data science Often, we deploy algorithms to make predictions about the way things are and even retrieve a full address of a Twitter user …

What have we learned?

On this course you have acquired intermediate data science skills and applied them to several different datasets. Week one In week one, you started by getting to know the data, …

Terminology we will be using in this course

Before we dive into the substance of the course, it is important that we agree on certain basic terminology. Data taxonomy We broadly classify data according to its complexity, that …

What is data science?

Imagine planning a weekend trip to Barcelona. You rent a room near the old city centre which got plenty of positive reviews on an online rental. Using a maps app, …

Welcome to the course

We have developed this course in response to the demand for courses aimed at anyone who wishes to explore a new subject area, improve their digital skills to support their …