While Python is an all-purpose general programming language, its success has mostly been in the arena of data analysis (including by academics), thanks to its compact, abstracted libraries that ...

Find out why it's important to work with different types of data when measuring the experience of people who have dementia. Get tips to help you do this. ‘During the co-production stage of this ...

Quantitative analysis uses historical data from a company’s financials to attempt to predict future patterns or trends. Since a company’s stock is traded on an exchange, investors and analysts ...

However, quantitative data lacks specific opinions and doesn’t always allow a business to see exactly what its customers think.

Courses in many departments, including economics, sociology, environmental studies and astronomy, regularly require students to analyze and draw conclusions from quantitative data. The Spinelli Center ...

Questionnaires - this is when people are asked what they think. Questionnaires are good at finding out opinions, but they may be less accurate when looking for facts. Field sketches and ...

1 Interpret the statistical output produced by a range of quantitative data analysis techniques (e.g., from journal articles or printouts produced by computer programs). 2 Identify and evaluate the ...

Bloomberg delivers extremely useful analytics for improving data quality, providing quantitative analysis, pricing simple and complex financial products, assessing the risk of derivatives ...