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    Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python, 2nd Edition

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    Master the statistical foundations of modern machine learning with Practical Statistics for Data Scientists, 2nd Edition. Authored by Peter Bruce, Andrew Bruce, and Peter Gedeck, this highly accessible guide explains over 50 essential statistical concepts and how to apply them using both R and Python. Focusing on practical application rather than dense mathematics, it is the ultimate desk reference for building accurate, data-driven solutions and avoiding common analytical pitfalls.

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    Statistics for People Who Hate Statistics – 7th Edition

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    Overcome your fear of data with Statistics for People Who (Think They) Hate Statistics, 7th Edition. Authored by Neil J. Salkind and Bruce B. Frey, this approachable text uses humor and relatable examples to teach foundational concepts like ANOVA, t-tests, and correlation. Complete with step-by-step tutorials for IBM SPSS Statistics, it is the perfect introductory guide for students who want to master statistics without the math anxiety.

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    Statistics for People Who (Think They) Hate Statistics

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    Looking for an anxiety-free way to master data analytics? Statistics for People Who (Think They) Hate Statistics (8th Edition) by Neil J. Salkind and Bruce B. Frey is the ultimate beginner-friendly guide to understanding data. This updated textbook strips away the confusing academic jargon and explains essential concept structures in clear, real-world terms.

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    Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel – Fifth Edition

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    Conquer math anxiety with Statistics for People Who (Think They) Hate Statistics. Authored by Neil J. Salkind and Bruce B. Frey, this bestselling, humorous textbook breaks down complex statistical concepts into highly accessible, jargon-free lessons. Featuring step-by-step tutorials for IBM SPSS, comprehensive coverage of inferential statistics, and relatable real-world examples, it is the ultimate, anxiety-reducing guide for students navigating their introductory research and data analysis courses.

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    The Elements of Statistical Learning: Data Mining, Inference, and Prediction

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    A comprehensive guide to statistical learning methods used in data science, machine learning, and applied analytics.

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    The Pragmatic Programmer: Your Journey To Mastery

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    The Pragmatic Programmer: Your Journey to Mastery is a timeless guide that helps software developers build better code, stronger habits, and long-term professional expertise.

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  • -62% National Electrical Code 2023 with tabs book cover for electrical engineering students

    NFPA 70, National Electrical Code, 2023 Edition

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    The National Electrical Code® 2023 Edition with Tabs is an essential academic and technical reference for students studying electrical engineering, construction, and building services. This edition reflects updated electrical installation standards and is organized for easier navigation and study.

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    Construction Planning and Scheduling

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    International Fuel Gas Code 2021

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    The 2021 International Fuel Gas Code is an authoritative academic reference for students studying construction, mechanical systems, and building safety. Published by the International Code Council, it establishes standardized requirements for the safe installation and use of fuel gas systems.

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    International Residential Code for One- and Two-family dwellings

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    The 2021 International Residential Code is an authoritative reference for students studying construction, civil engineering, architecture, and building technology. Published by the International Code Council, this edition provides standardized regulations for safe, durable, and compliant residential construction.

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