Data linkage in Python
This course aims to cover the practical application of linking data in Python.
Learn more on Data linkage in PythonIf you're searching for a two or three word term you need to put it in quotation marks e.g. "analysis function".
This course aims to cover the practical application of linking data in Python.
Learn more on Data linkage in PythonDealing with dates and times is something any data analyst will need to do at some point. This course provides an introduction on how to deal with this kind of data.
Learn more on Dates and times in PythonThis 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 has been designed for beginners in the field of machine learning (ML).
Learn more on Machine learning in RThis course will cover the basics of sampling and estimation.
Learn more on Awareness in sample design and estimationThis course will introduce the survey development area of question design methodology.
Learn more on Awareness in questionnaire designThis 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 analysisIn this introductory course, we will cover the basics of Natural Language Processing (NLP) topics.
Learn more on Natural Language Processing (NLP) in RThis course will provide participants of all grades and backgrounds with an awareness of index number techniques.
Learn more on Awareness in index numbersThis course is designed to introduce learners to object orientated programming in Python.
Learn more on Introduction to object orientated programming in Python