Demystifying Data Science: Part 1

<h1><strong>Introduction</strong></h1> <p>Data science is a dynamic and expansive field that has revolutionized industries across the globe. In this article, we will embark on a journey to demystify data science by providing an overview of its key concepts and the underlying process. By understanding the fundamental concepts and processes involved, we can grasp the essence of this transformative discipline. Let&rsquo;s dive in!</p> <h1><strong>It all starts with Data</strong></h1> <p>At the heart of data science lies data itself. Data collection, exploration, and preprocessing are vital steps in the data science process.</p> <p><strong>Data Collection</strong><br /> It involves gathering relevant and representative data to address a specific problem or research question. The quality and completeness of the collected data directly impact the accuracy and validity of any subsequent analyses. Thorough data collection ensures that the dataset encompasses all necessary variables and provides a comprehensive representation of the problem domain.</p> <p><a href="https://medium.com/@harikavaddadi151008/demystifying-data-science-part-1-60cc02d2c872"><strong>Read More</strong></a></p>