This course is designed to introduce learners to object orientated programming in Python.
Learn more on Introduction to object orientated programming in PythonThis 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 will give you an understanding of Pyspark, the Python interface to the distributed processing tool Spark.
Learn more on Introduction to PysparkThis course focuses on applying coding skills in Python and building confidence, independence and resilience so that you can continue your learning beyond the classroom.
Learn more on Introduction to PythonThis course focuses on applying coding skills and building confidence, independence and resilience so that you can continue your learning beyond the classroom.
Learn more on Introduction to RThis 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 you an understanding of Sparklyr, the R interface to the distributed processing tool Spark.
Learn more on Introduction to SparklyrThis 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 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 Government