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 …
Course: Applied Data Science
Increasing the complexity of our modelling
We should take a step back here and reflect on how we built our models: we first selected a subset of our data to work with and then grouped the …
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 …
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 …
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, …
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 …
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 …
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 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 …
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 …
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 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, …
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 …
Working with geolocation data
We now have a dataset containing information about items being listed at various locations in the United Kingdom by users of the OLIO app. We have learned a number of …
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 …