Description

Data Science for Librarians explores the integration of data science into librarianship, offering practical insights for leveraging data to enhance library services and decision-making. This book introduces key concepts such as data collection, cleaning, analysis, and visualization, alongside tools like Python, R, and SQL tailored for library applications. It examines real-world uses, including optimizing catalog systems, managing research data, improving user engagement, and supporting digital scholarship. Through case studies and actionable strategies, it highlights how data-driven approaches can address challenges in the digital age, empowering librarians to innovate and adapt. Designed for students, professionals, and library leaders, Data Science for Librarians emphasizes the growing importance of data literacy in fostering informed decisions and advancing library services. This book equips librarians to navigate the intersection of technology and information science, ensuring libraries remain essential hubs of knowledge in an increasingly data-centric world.