Introduction to policy evaluation
This course will provide learners with the skills they need to act as an intelligent customer for evaluation.
Learn more on Introduction to policy evaluationIf 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 provide learners with the skills they need to act as an intelligent customer for evaluation.
Learn more on Introduction to policy evaluationThis 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 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 fundamentalsThis short course provides the theoretical knowledge you need to begin using geography for statistical purposes. We suggest combining this course with either Introduction to QGIS, Introduction to GIS in R or Introduction to GIS in Python. Doing so will provide you with a good theoretical and practical knowledge to begin using geography with statistics in your analysis.
Learn more on Practical Geography for StatisticsSee also our Introduction to QGIS and Introduction to GIS in Rshort courses.
Learn more on Introduction to GIS in PythonThis course provides an introduction to working with geospatial data in R. Learning outcomes By the end of the course you will: Know how to load spatial data into R using the sf library Be familiar with using Government Statistical Service (GSS) codes to join statistics to geographies Understand how spatial objects can be manipulated using tidyverse Understand […]
Learn more on Introduction to GIS in RThis course provides an introduction to working with geospatial data in QGIS for data scientists and those new to GIS and geography.
Learn more on Introduction to QGISThis course introduces users to the best practice around mapping for a statistical context. We’ll introduce the most common types of maps used to present statistics and will provide guidance on what to think about when making a statistical map to ensure you make a clean, accurate and informative map.
Learn more on How To Make a Good Map