DATA SCIENCE MADHINAGUDA

The act of developing a mathematical representation of real-world problems, systems, or processes is known as data modeling and is a key part of data science. Analyzing, interpreting and visualizing large data sets, which are often unstructured and require sophisticated analytical methods to extract detailed information, requires data modeling, a key component of data science. We will examine the importance of data modeling in data science in this article.

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