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What Is Data Science And What Techniques Do The Data Scientists Use? Posted on : Mar 02 - 2021

What Is Data Science?

The terminology came into the picture when the amount of data had started expanding in the starting years of the 21st century. As the data increased, there was a newly emerged need to select only the data that is required for a specific task. The primary function of data science is to extract knowledge and insights from all kinds of data. While data mining is a task that involves finding patterns and relations in large data sets, data science is a broader concept of finding, analyzing, and providing insights as an outcome.

In short, data science is the parent category of computational studies, dealing with machine learning, and big data.

Data science is closely related to Statistics. But as opposed to statistics, it goes way beyond the concepts of mathematics. Statistics is the collection, interpretation of quantitative data where there is accountability for assumptions ( like any other pure science field). Data science is an applied branch of statistics dealing with huge databases which require a background in computer science. And, because they are dealing with such an incomprehensible amount of data, there is no need to consider assumptions. In-depth knowledge of mathematics, programming languages, ML, graphic designing, and the domain of the business is essential to become a successful data scientist.

How Does It Work?

Several practical applications provide personalized solutions for business problems. The goals and working of data science depend on the requirements of a business. The companies expect prediction from the extracted data; to predict or estimate a value based on the inputs. Via prediction graphs and forecasting, companies can retrieve actionable insights. There’s also a need for classifying the data, especially to recognize whether or not the given data is spam. Classification helps in work reduction in further cases. A similar algorithm is to detect patterns and group them so that the searching process becomes more convenient. View More