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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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I wanted to join a Data Science course but was worried about not completing it in the course duration as I have zero technical knowledge. Despite my worry, I joined the course and I am happy I did so. It was not easy, I had to push myself so hard and put in a lot more extra time in understanding and practising the concepts. 

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