This course aims to cover the practical application of linking data in Python.
Learn more on Data linkage in PythonThis course aims to cover the practical application of linking data in R.
Learn more on Data linkage in RThis course explains how to take the GSS guidelines and practically apply them using the programming language of R. The course will take you from first principles through to producing production ready visualisation.
Learn more on Data visualisation in R and PythonDealing with dates and times is something any data analyst will need to do at some point. This course provides an introduction on how to deal with this kind of data.
Learn more on Dates and times in PythonDealing with dates and times is something any data analyst will need to do at some point. This course provides an introduction on how to deal with this kind of data.
Learn more on Dates and times in RThis is a short course and aims to covers the practical application of editing and imputation in Python.
Learn more on Editing and imputation in PythonThis is a short course and aims to covers the practical application of editing and imputation in R.
Learn more on Editing and imputation in RThis is a short self-study course on hypothesis testing.
Learn more on Hypothesis testing in PythonThis is a short self-study course on hypothesis testing.
Learn more on Hypothesis testing in RLearners will learn important components used for modelling text. This includes feature representation and language modelling.
Learn more on Intermediate NLP in Python