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 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 course explores the key principles used in all aspects of the production and dissemination of official statistics. Topics are introduced with some presentations, but learning is mainly driven through activities, case studies and discussions that draw on participants’ own experiences, knowledge and views.
Learn more on Government Statistician Group (GSG) – Foundation courseThe aim of this course is to introduce you to statistics and data science across government and for you to hear first hand about some of the great work that is going on.
Learn more on Government Statistician Group (GSG) Induction courseThis course introduces users to the best practice around mapping for a statistical context. We’ll introduce the most common types of maps used to present statistics and will provide guidance on what to think about when making a statistical map to ensure you make a clean, accurate and informative map.
Learn more on How To Make a Good MapThis 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 numbers