The phrase "able to analyze data" is correct and usable in written English.
You can use it when describing someone's skills or capabilities in data analysis.
Example: "The candidate is highly qualified and is able to analyze data effectively to inform business decisions."
Alternatives: "capable of analyzing data" or "skilled in data analysis."
Being able to pivot comfortably between the general public and the political plutocracy is a skill no less complex than being able to analyze data from the Hubble telescope; being able to do both is very unusual.
Taking advantage of a database containing professional data from more than a million doctors and more than 90,000 U.S. medical school faculty members, the researchers were able to analyze data from state licensing boards and other sources to draw their conclusions.
Ideally, IoT solutions are able to analyze data simultaneously for each of those tiered requirements.
With these combined skills, he feels that researchers will be able "to analyze data sets themselves, quickly and easily".
"Being able to analyze data, recognize patterns, summarize results, break down problems in the simplest way these are the kinds of things I learned prior to joining industry".
Deep learning helps train large neural networks to recognize patterns in the data and be able to analyze data in a variety of forms such as audio, images, and text.
By being able to analyze its data and the data of other vehicles driving over a long period of time, it can adapt to daily driving conditions easier.
The accumulation of large-scale interaction data on multiple organisms, such as protein-protein and protein-DNA interactions, requires novel computational techniques that will be able to analyze these data together with information collected through other means.
Being able to analyze your data in place is crucial to the data native approach, which leads to all of the other capabilities outlined above.
As J. Andrew Rogers, founder and CTO of Space Curve put it, "the analytic value of data decays rapidly". That means being able to analyze your data as fast as possible is critical to gaining competitive advantage.
They'd also like to be able to analyze the data in real time.
