“Text analytics” means converting text into conventional data. Once that is done, conventional statistical methods can be used for further analysis.

While static Excel charts are adequate for basic data analysis, they fall short when you want to explore trends, compare scenarios, and truly interact with your information. Here is where dynamic ...

Telling the difference between benign and cancerous thyroid nodules before surgery is notoriously challenging, but a new study finds that a combination of artificial intelligence and data analysis ...

4 Data Analysis Techniques Illustrated via The Pigeon Algorithm Techniques for evaluating a Google algorithm effects on a niche can be applied to how other effects specific to industries change ...

Program Prerequisites Entry into the Data Science MS program assumes basic knowledge in statistical and mathematical techniques, computer programming, information systems and databases, and ...

There are three types of trend analysis that I have used in the past to predict the future: geographic, temporal, and intuitive. I describe these three in the introduction to my Seven Trends in ...

What are the skills needed to become a data analyst? This question was originally answered on Quora by Christian Bonilla.

Meta-analysis is common in clinical research, less so in basic biology, but it is also proving useful in some basic research contexts. It should help improve research reproducibility.

Quantitative data management and analysis uses numbers in its methods, while a qualitative approach involves text. According to Norman K. Denzin and Yvonna S. Lincoln, the authors of "Handbook of ...