This course introduces the concepts, motivation, and techniques for creating a Reproducible Analytical Pipeline (RAP). It explains the benefits of RAP and gives guidance to help you overcome common problems with it.
Learn more on Introduction to Reproducible Analytical Pipelines (RAP)This course will give an overview of the benefits and main features of RMarkdown.
Learn more on Introduction to RMarkdownThis course will give you an understanding of Sparklyr, the R interface to the distributed processing tool Spark.
Learn more on Introduction to SparklyrThis eLearning course aims to introduce participants to the main concepts of disclosure control.
Learn more on Introduction to statistical disclosure controlThis 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 has been designed for beginners in the field of machine learning (ML).
Learn more on Machine learning in RIn this course you will learn important concepts relating to modular code and how to convert code to functions. There are modules in either R or Python.
Learn more on Modular Programming in Python and RThe MSc in Data Analytics for Government (MDataGov) is a unique and flexible part-time MSc programme that combines modules in statistics and data science. It aims to build data science capability across government by equipping civil servants with a key set of skills required from a modern government data analyst.
Learn more on Modules of the MSc in Data Analytics for GovernmentIn this introductory course, we will cover the basics of Natural Language Processing (NLP) topics.
Learn more on Natural Language Processing (NLP) in RThis course will teach you how to build packages using your own custom functions and import them in both Python and R.
Learn more on Packaging and documentation