Key Points Attribute data are characteristics that aren’t readily quantified by hard numbers. It is a discrete data type.

Data analysis is a fundamental process in any project. However, data can be lumped into different types, with categorical and ...

Quantitative analysis (QA) in finance refers to the use of mathematical and statistical techniques to analyze financial & economic data and make trading, investing, and risk management decisions.

Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out.

What does it mean to do “big data” in 2019 and just what is "big data?" There are no easy answers, but as we increasingly tout everything and anything as “big data” it is worth stepping ...

Analyzing mobile marketing campaign data is necessary to improving future campaigns. Here are some guidelines to ensure you analyze your data correctly.

The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. The information frequently is stored in a data warehouse, ...