This short course is designed to introduce learners to Bayesian analysis and how it can be applied within both the R and Python programming languages.
Learn more on Introduction to Bayesian data analysisThis short course is designed to introduce learners to modern software development approaches.
Learn more on Introduction to Continuous IntegrationData linkage provides insight, informs policy change and helps answer society’s most important questions by increasing the utility of data. This self-study course will introduce you to the principles, theory and practice of data linkage.
Learn more on Introduction to data linkageThis course aims to introduce participants to the processes of editing and imputing in surveys.
Learn more on Introduction to editing and imputationThis course will give you an understanding of the git version control system, along with experience working both locally and in collaboration.
Learn more on Introduction to GitIn this course you will learn about a range of machine learning topic areas. You will also learn how to perform the modelling operations using the Python programming language and the package 'scikit-learn'.
Learn more on Introduction to machine learning in PythonThis is an Introduction to Natural Language Processing, and covers the main concepts around text cleaning, processing, exploring datasets, and becoming familiar with working with text based data in Python.
Learn more on Introduction to NLP in PythonThis course is designed to introduce learners to object orientated programming in Python.
Learn more on Introduction to object orientated programming in PythonThis 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 Python