How Data Scientists Work

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The main task of a Data Scientist is to extract useful information for business from large volumes of data, identify patterns, create and test hypotheses through modeling and developing new software.

Such specialists use a number of tools to achieve their goal, such as statistical modeling packages, big data technologies and NoSQL DBMS, programming languages ​​and Business Intelligence class information systems.

From this we can conclude that Data Science covers areas of knowledge such as thailand rcs data mathematics (mathematical analysis, mathematical statistics and mathematical logic), computer science (software development, databases, models and machine learning algorithms, Data Mining) and systems analysis (methods of subject area analysis, Business Intelligence). Data Science is one of the most sought-after and highly paid IT professions at present.

In recent years, there has been a rapid growth in demand for Data Science specialists. This profession is becoming essential for large companies, startups, and small development teams.
Every day new tasks appear that can be solved with the help of Data Science. Modern machine learning models allow you to solve problems that seemed unsolvable a year ago, and ultimately make more profit. The path in this profession involves constant development and improvement of skills.