Protected: Working with external experts (DFT – SME)
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Learn more on Protected: Working with external experts (DFT – SME)If you're searching for a two or three word term you need to put it in quotation marks e.g. "analysis function".
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Learn more on Protected: Working with external experts (DFT – SME)This course will give you an understanding of Sparklyr, the R interface to the distributed processing tool Spark.
Learn more on Introduction to SparklyrAn 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 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 toolsThe 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 changeThe 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-learningThis 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 eLearning course aims to introduce participants to the main concepts of disclosure control.
Learn more on Introduction to statistical disclosure control