Dealing 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 course will give you experience using the SQL methods of database querying, manipulation and editing.
Learn more on Foundations of Structured Query Language (SQL)This 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 RThis course is for producers of index numbers or people who want to understand how they are produced.
Learn more on Intermediate index numbersLearners will learn important components used for modelling text. This includes feature representation and language modelling.
Learn more on Intermediate NLP in PythonThis is an introductory session aimed at statistical producers to show how the Code of Practice for Statistics works in practice in the context of the UK statistical system, along with case studies to show how the code has been applied in the past.
Learn more on Introducing the Code of Practice for Statistics