Finding Stories in Data

Finding Stories in Data takes learners through the process of developing a compelling data narrative. Skills covered include visualising data; finding and telling stories in data; gathering data and cleaning data.

MOOC, Free

 

Click here

Fundamentals of Data Science

In this course, you will understand the foundations of the data science process; will learn to evaluate data science tools and techniques based on their suitability for particular tasks; and gain hands-on experience using R to analyse data. The course emphasises a hands-on approach to learning data skills, offering a number of interactive, online exercises to try out many of the techniques and concepts covered in the taught material. This is aimed at analysts and technical teams, and there is a complementary non-technical version for managers (see below).

Online course, Paid

 

Click here

Fundamentals of Data Science (non-technical)

In this course, you will understand the foundations of the data science process; will learn to evaluate data science tools and techniques based on their suitability for particular tasks; and gain hands-on experience creating data visualisations, looking at cloud data and learning how to handle live data. The course emphasises a hands-on approach to learning data skills, offering a number of interactive, online exercises to try out many of the techniques and concepts covered in the taught material. This is aimed at managers.

Online course, Paid

 

Click here

Linked Data and Semantic Web

This course guides learners through the basics of Linked Data and the Semantic Web – exploring how this new Web of Data isn’t about creating a big collection of standalone datasets, but is instead about using a common format to ensure data is interrelated. As well as the background to the semantic web,  learners are introduced to linked data technologies and engage in writing queries in SPARQL.

MOOC, Free

 

Click here

Secure Android App Development

This course provides an introduction to mobile app security, including common vulnerabilities found in Android apps, and how to detect and mitigate them, as well as how to provide proof of secure code. Architecture, permissions, interprocess communication and static analysis of code will be covered as well as the use of a popular toolset to identify and fix vulnerabilities.

MOOC, Free

 

Click here

Foundations of Data Science eBook

This interactive book supports self-directed study and covers both the architecture and analytics aspects of data science.

eBook, Free

 

Click here