Census data are large scale, multi-structured, hierarchical data sets, for which the primary sampling units are typically the household. Analysis involves questions asked about certain subsets of the population for example housing composition, assets and water sources, employment, education, fertility, sanitation, and telecommuting.
Census data are large scale, multi-structured, hierarchical data sets, for which the primary sampling units are typically the household. Analysis involves questions asked about certain subsets of the population for example housing composition, assets and water sources, employment, education, fertility, sanitation, and telecommuting.
This course will equip you knowledge about food and nutrition with specific emphasis on the CARICOM region, including targets and indicators been used in CARICOM. The with the knowledge data sources and purposes for each indicator and their relevance in monitoring food and nutrition security. It will also equip you with knowledge about food and nutrition security in general.
This course was developed by PARIS21 in collaboration with UN Women as part of the ‘Making Every Woman and Girl Count’ initiative. Working globally, ‘Women Count’ is transforming statistical systems to be more gender responsive, connecting gender data communities, and influencing evidence-based policy changes to change the lives of women and girls.
In this course you will be introduced to statistical policy and methods of sampling and statistical inference useful in environmental science and resource management in the Caribbean Region.
Free
Teacher CARICOM
