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R is a powerful programming language, popular for statistical analysis. This introduction starts from the basics – understanding data in R, running simple commands, installing code packages and manipulating data.
Forecasting is the process of making predictions of the future based on past and present data trends. This chapter shows you how to build powerful forecasts from scratch using the package prophet.
Python is a popular programming language for data analysis. In the course, we introduce all the basics you need to understanding data types in Python, running simple commands, installing modules and manipulating data.
This chapter will show you how to draw insights from data, understanding correlations and visualising trends.
Machine learning is a method of data analysis that automates analytical model building. You will learn how to build machine learning algorithms which learn from data, identify patterns, and make predictions.
A specialised chapter looking at specific healthcare challenges. In this chapter you will combine all the skills you have learnt during other course chapters including data wrangling, binary classification, analysis and forecasting.