Tableau, TIBCO Data Science, IBM and Sisense are among the best software for predictive analytics. Explore their features, pricing, pros and cons to find the best option for your organization.

When you use the statistical analysis features in Excel, you are leveraging one of the most powerful tools available for data manipulation and interpretation. Excel is not just a spreadsheet ...

High-dimensional -omics data such as genomic, transcriptomic, and metabolomic data offer great promise in advancing precision medicine. In particular, such data have enabled the investigation of ...

Discover how proteomics data analysis and bioinformatics tools enhance mass spectrometry workflows for robust findings.

Data mining is an analytical process designed to explore and analyze large data sets to discover meaningful patterns, correlations and insights. It involves using sophisticated data analysis tools to ...

BIOSKETCH: John J.Bates is the chief of the Remote Sensing Applications Division of the U.S. National Oceanic and Atmospheric Administration’s (NOAA’s) National Climatic Data Center. Dr. Bates ...

The data genie is well and truly out of the bottle. The presence of data-driven consultancies, the rise of public data websites and the growth of its use in the media (cough, cough) highlight how ...

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. Novice data scientists sometimes have ...

As Iowa officials drill down on their fight to understand and address high cancer rates in the state, a mapping tool developed by University of Iowa researchers is informing their and other states’ ...