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This 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 online event will look at the importance of collaboration between policy professionals and analysts.
Learn more on Analysis skills within the Policy Profession – Workshop 4 of 4This is an Introduction to Natural Language Processing, and covers the main concepts around text cleaning, processing, exploring datasets, and becoming familiar with working with text based data in Python.
Learn more on Introduction to NLP in PythonLearners will learn important components used for modelling text. This includes feature representation and language modelling.
Learn more on Intermediate NLP in PythonIn this course you will learn important concepts relating to modular code and how to convert code to functions. There are modules in either R or Python.
Learn more on Modular Programming in Python and RThis course is for producers of index numbers or people who want to understand how they are produced.
Learn more on Intermediate index numbersLoops, 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 is a short course and aims to covers the practical application of editing and imputation in R.
Learn more on Editing and imputation in RDealing 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 PythonThe course is a series of modules exploring quality issues related to predictive modelling.
Learn more on Quality assurance of predictive modelling