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"Analytics Tools" is a practical, technology-focused book category that teaches readers how to use the software, libraries and platforms that power data analysis and decision-making. Titles in this category cover hands-on instruction and reference material for tools such as Excel, SQL, R, Python, Tableau, Power BI, SAS, Spark and other BI, ETL and machine‑learning frameworks, and they span topics from data cleaning, transformation and visualization to statistical modeling, predictive analytics, A/B testing, dashboard design and deployment. Books range from step‑by‑step tutorials and cookbooks with code and sample datasets to best‑practice guides, tool comparisons and case studies that help business analysts, data scientists, engineers and managers choose, implement and scale analytics workflows in real organizations.

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