Data Science Essentials

Data Science is an interdisciplinary field that combines statistics, machine learning, programming, and domain expertise to extract insights from data. It involves data collection, cleaning, analysis, visualization, and predictive modeling using tools like Python, R, SQL, and AI frameworks. Key techniques include machine learning, deep learning, and natural language processing (NLP). Data scientists work with big data technologies (Hadoop, Spark) and deploy models using cloud platforms. Applications span healthcare, finance, marketing, and more, enabling data-driven decision-making. With increasing data availability, Data Science is essential for solving complex problems and optimizing business strategies through analytical insights and automation.