Browse our other courses on data literacy
Teaches easy ways to nail basic numbers and gives an understanding as to why this is important.
Prepares and provides students with all the knowledge and skills to read, interpret and produce tables and graphs, including tendency, spread and dispersion, and scientific notation.
Introduces learners to the principles behind the many statistical practices, including sampling, variables and inference and showing how these concepts fit into the research design process.
Explains what statistical significance and p-values mean, how they are calculated, and how their origin lies in the way we use samples to measure and investigate people, organizations and societies.
Master the principles for transforming data into powerful visualizations, with a fresh, creative approach from Andy Kirk.
Provides a clear understanding of the skills needed to manage and sort transcribed data collected from interviews, surveys, and focus groups.