Reproducible reporting with RMarkdown
An introduction to using R Markdown documents to produce reproducible reports.
Learn more on Reproducible reporting with RMarkdownIf you're searching for a two or three word term you need to put it in quotation marks e.g. "analysis function".
An introduction to using R Markdown documents to produce reproducible reports.
Learn more on Reproducible reporting with RMarkdownThis course will develop your understanding of the reasons you should and could use admin data. It will also introduce the processes, strengths and challenges needed to access admin data.
Learn more on Awareness in administrative dataThis course introduces basic commands and operations performed in the command line interface on computers.
Learn more on Command line basicsThis course will give you an understanding of unit testing: the practice of designing, creating and executing tests for your code in both R and Python.
Learn more on Introduction to unit testingThis 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 courseThis course will provide learners with the skills they need to act as an intelligent customer for evaluation.
Learn more on Introduction to policy evaluationThis course aims to provide participants with an awareness of new coding tools. We will compare them with R and Python and discuss when they are best used.
Learn more on Awareness of new coding toolsThis course will give you an understanding of Pyspark, the Python interface to the distributed processing tool Spark.
Learn more on Introduction to PysparkThis course will give an overview of the benefits and main features of RMarkdown.
Learn more on Introduction to RMarkdownThere is no excerpt because this is a protected post.
Learn more on Protected: Using innovative behavioural methods to measure and influence an emerging policy area at the Department for Transport (DFT – IBM)