The phrase 'data science knowledge' is correct and can be used in formal written English.
For example, you could use the phrase when discussing the skills required for a data science job, such as "Applicants for this position should have a thorough understanding of data science knowledge and practical experience in using data science tools."
"The biggest piece of this is the big hook around data science and knowledge generation," Steele said.
Today, machine learning (ML) is the fastest growing technical field, at the intersection of informatics and statistics, tightly connected with data science and knowledge discovery, and health is among the greatest challenges [2, 3].
There is no question that using data science to extract knowledge from raw data provides tremendous value and opportunity to organizations in any sector, but the way it is analyzed has crucial bearing on that value.
Our methodology brings to bear a cross section of data science tools with a knowledge of the potential issues that each present.
Alteryx has opened a big data-analytics apps studio for people who do not necessarily have a deep knowledge of data science.
Furthermore, Wikipedia defines data science (DS) as extracting useful knowledge from data by employing techniques and theories drawn from many fields within the broad areas of mathematics, statistics, and information technology.
However, this particular annotation task requires sufficient background knowledge in health data science, which significantly reduces the pool of suitable observers.
Data science provides processes and systems to extract knowledge from both structured and unstructured data.
That is, when future companies become more software-intensive, they will need more efficient internal data processing and effective knowledge utilization capabilities (incorporating data science).
The limited objective performance data revealed no major gaps of basic science knowledge.
