Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Data science practitioners apply machine learning algorithms to numbers, text, images, video, audio, and more to produce artificial intelligence (AI) systems to perform tasks that ordinarily require human intelligence. In turn, these systems generate insights which analysts and business users can translate into tangible business value.
Main importance of data science nowadays is that as more and more companies are coming to realize the importance of data science, AI, and machine learning. Regardless of industry or size, organizations that wish to remain competitive in the age of big data need to efficiently develop and implement data science capabilities or risk being left behind.
In another example
Lets say you want to buy new furniture for your office. When looking online for the best option and deal, you should answer some critical questions before making your decision. Using this sample decision tree, you can narrow down your selection to a few websites and, ultimately, make a more informed final decision.