Employees at many companies today are expected to make decisions through careful data analysis, but the tools they need to do ...

Can an AI replace a data analyst? In recent years, we have heard about breakthroughs in artificial intelligence and how robots are replacing office workers, especially in areas where processes can be ...

The inability to reliably extract data from PDFs affects numerous sectors but hits hardest in areas that rely heavily on ...

As the Army’s premier force enabling data-centric operations, ARCYBER is committed to executing the Army’s Data Management ...

Data analysis uncovers how the Academy of Motion Picture Arts and Sciences protects its Oscar brand, focusing on three coveted marks. Annual litigation data shows that copyright complaint filings have ...

We appreciate the responses to our publication of a data-driven analysis of the foundations that could be at risk of investigation due to President Trump’s executive order about diversity, equity, and ...

The accurate use of data is important as it allows for sensible conclusions to be reached. Percentages close percentageA proportion representing parts per hundred, for example 9% is 9 out of 100 ...

Don't waste time testing different values individually in Excel. Use a data table to show the results for many different possible scenarios at once. Follow BI Video: On Twitter More from Finance ...

The U.S. government is the nation's largest employer. See which jobs are most common and where employees are located.

The MSc in Environmental Modelling and Data Analysis will provide you with the skills to go on to a career in this exciting area. You will learn how models of environmental processes are developed and ...

Such high-dimensionality makes visualization of samples difficult and limits simple exploration of the data. Principal component analysis (PCA) is a mathematical algorithm that reduces the ...

This eight-week Data Analysis for Management course equips you with the skills to give your organisation a competitive advantage in any industry by using data to make decisions, extract business ...