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This course will cover the basics of sampling and estimation.
Learn more on Awareness in sample design and estimationThis is a short course and aims to covers the practical application of editing and imputation in Python.
Learn more on Editing and imputation in PythonThis course focuses on best practice in programming in terms of readability.
Learn more on Best practice in programming – clean codeLoops, 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 functionsThis course aims to introduce the concepts of small area estimation, explain the need and give an overview of how it works.
Learn more on Awareness in small area estimationThis course is for producers of index numbers or people who want to understand how they are produced.
Learn more on Intermediate index numbersThis course will introduce the survey development area of question design methodology.
Learn more on Awareness in questionnaire designThis course will provide participants of all grades and backgrounds with an awareness of index number techniques.
Learn more on Awareness in index numbersThis course covers editing (finding and correcting errors in data) and imputation (estimating values for missing or inconsistent data).
Learn more on Awareness in editing and imputationThis is an introductory session aimed at statistical producers to show how the Code of Practice for Statistics works in practice in the context of the UK statistical system, along with case studies to show how the code has been applied in the past.
Learn more on Introducing the Code of Practice for Statistics