Introduction to Sparklyr
This course will give you an understanding of Sparklyr, the R interface to the distributed processing tool Spark.
Learn more on Introduction to SparklyrIf you're searching for a two or three word term you need to put it in quotation marks e.g. "analysis function".
This 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 controlAn introduction to using R Markdown documents to produce reproducible reports.
Learn more on Reproducible reporting with RMarkdownThis course will give an overview of the benefits and main features of RMarkdown.
Learn more on Introduction to RMarkdownThis 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 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 provide learners with the skills they need to act as an intelligent customer for evaluation.
Learn more on Introduction to policy evaluationThe aim of this course is to provide an overview of best practice approaches for creating and publishing basic data visualisations.
Learn more on Data visualisation e-learningThe aim of this workshop is to explore various approaches for effective communication of quality, uncertainty and change while showcasing examples of good practice and providing guidance for statistics producers to better their statistical publications.
Learn more on Communicating quality, uncertainty and changeThis course will give you an understanding of Pyspark, the Python interface to the distributed processing tool Spark.
Learn more on Introduction to Pyspark