The terms data analysis and data visualization have become synonymous in everyday language in the wider data community, but the two are quite different. Data analysis is an exploratory process ...

Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...

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, ...

Use the tools and techniques of data analysis to make sense of mountains of information.

Data analytics is a discipline focused on extracting insights from data, including the analysis, collection, organization, and storage of data, as well as the tools and techniques to do so.

Finding the best way to gather customer data, organize it for consistency and then analyze it is often a challenge for modern enterprises.

The data scientist role varies depending on industry, but there are common skills, experience, education, and training that will give you a leg up in your data science career.

Principal component analysis is often incorporated into genome-wide expression studies, but what is it and how can it be used to explore high-dimensional data?