Introduction to RMarkdown
This course will give an overview of the benefits and main features of RMarkdown.
Learn more on Introduction to RMarkdownIf 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 an overview of the benefits and main features of RMarkdown.
Learn more on Introduction to RMarkdownAn introduction to using R Markdown documents to produce reproducible reports.
Learn more on Reproducible reporting with RMarkdownThis eLearning course aims to introduce participants to the main concepts of disclosure control.
Learn more on Introduction to statistical disclosure controlThis 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 will give you an understanding of Pyspark, the Python interface to the distributed processing tool Spark.
Learn more on Introduction to PysparkThis 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.
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Learn more on Protected: Using innovative behavioural methods to measure and influence an emerging policy area at the Department for Transport (DFT – IBM)There is no excerpt because this is a protected post.
Learn more on Protected: Working with external experts (DFT – SME)This course is designed for anyone who wants to gain a better understanding of the basic considerations for data collection activities and processes. The course will introduce how to design your data collection tool. The course covers qualitative research methods and survey design. We will discuss how qualitative methodologies can be used both for their […]
Learn more on Data collection fundamentals