This 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 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 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 testingIn 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 GovernmentThis 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 documentationLoops, Control Flow and the ability to write your own functions are valuable programming tools. This short course covers and introduction to these topics and demonstrates areas for additional learning.
Learn more on Python control flow loops and functions