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Statistics for Absolute Beginners (Second Edition) (Learn Statistics & Probability Books for Beginners)
This book guides you through the fundamentals of inferential and descriptive statistics with a mix of practical demonstrations, visual examples, historical origins, and plain English explanations.
Statistics for Absolute Beginners (Second Edition) (Learn Statistics & Probability Books for Beginners)
Item #: 45632162

Statistics for Absolute Beginners (Second Edition) (Learn Statistics & Probability Books for Beginners)

Item #: 45632162

AED 91

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    This book guides you through the fundamentals of inferential and descriptive statistics with a mix of practical demonstrations, visual examples, historical origins, and plain English explanations.
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    What Stands Out

    Beginner-Friendly
    This book simplifies complex statistical concepts, making it accessible for novices, ensuring readers grasp fundamental principles without getting overwhelmed by technical jargon.
    Comprehensive Coverage
    Thoroughly covers essential topics in statistics and probability, providing readers with a solid foundation to apply statistical methods effectively in real-world scenarios.
    Practical Examples
    Includes relatable examples and exercises that reinforce learning, allowing beginners to practice and apply statistical concepts, fostering confidence and better retention.

    Product Details

    Shop Statistics for Absolute Beginners (Second Edition) (Learn Statistics & Probability Books for Beginners) online at a best price in UAE. B08BDZ2DCF
    • Written by the author of Amazon Best Seller Machine Learning for Absolute Beginners
    • Guides through the fundamentals of inferential and descriptive statistics with practical demonstrations, visual examples, historical origins, and plain English explanations
    • Serves as a concise and simple-to-understand supplement to a standard textbook for beginners
    • Covers important techniques such as hypothesis testing, linear regression analysis, confidence intervals, probability theory, and data distribution
    • Includes descriptive statistics techniques like central tendency measures and standard deviation
    • Encompasses themes such as the historical development of statistics, data sampling, measures of spread and position, designing hypothesis tests, probability and Bayes theory, regression analysis, and clustering analysis
    Publisher Independently published
    Publication date June 18, 2020
    Language English
    Print length 161 pages
    ISBN-13 979-8654976123
    Item Weight 8.5 ounces (240.98 grams)
    Dimensions 6 x 0.38 x 9 inches (15.2 x 1 x 22.9 cm)
    Part of series Learn Statistics & Probability Books for Beginners

    Who Should Buy?

    Suitable For
    • Complete Beginners

      Ideal for individuals with no prior knowledge of statistics looking for a user-friendly introduction.

    • Students

      Suitable for high school or college students needing a foundational understanding of statistics for coursework.

    • Self-Learners

      Perfect for those who prefer self-paced learning and seek a straightforward guide to statistics and probability.

    Not Suitable For
    • Advanced Learners

      Not suitable for individuals with prior statistical knowledge looking for advanced insights or complex concepts.

    Product Description

    Statistics for Absolute Beginners (Second Edition) (Learn Statistics & Probability Books for Beginners)

    About This Item

    Are you an absolute beginner looking to dive into the world of statistics? Look no further than the Statistics for Absolute Beginners Second Edition. This comprehensive guide is perfect for those who are new to AI, data science, Python, and statistics. Whether you're interested in AI statistics, data science statistics, Python statistics, or statistics basics, this book has got you covered. It serves as a beginner's guide to statistics in AI and provides an introductory overview of statistics for data science.

    With a focus on Python, this book is a beginner's tutorial in Python statistics. It covers the fundamentals of statistics, making it an essential resource for AI beginners. You'll learn the necessary statistics skills for AI, including data analysis and statistics principles. If you're just starting out in data science, this book offers a beginner's guide to data science statistics.

    It introduces you to the fundamental statistics concepts and equips you with essential statistics skills. You'll gain the knowledge needed to analyze data and make informed decisions. This book is designed for Python beginners, providing a solid introduction to statistics for those in the Python community. Whether you're a beginner data scientist or an AI enthusiast, this book is packed with the statistics essentials you need. No matter your background or experience level, the Statistics for Absolute Beginners Second Edition is the perfect resource to start your journey in statistics.

    So grab a copy today and embark on your path to mastering statistics in AI, data science, Python, and beyond.

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    Statistics Editorial Review

    Statistics for Absolute Beginners (Second Edition) (Learn Statistics & Probability Books for Beginners) is a well-structured guide that offers a clear introduction to basic statistics. Its 161 pages are jam-packed with understandable examples, bringing the subject of statistics into the realm of possibility for those new to the topic. Many readers, including parents who bought it for their children, have found it beneficial as a starting point in learning statistics. Though some feedback suggests it may not cover advanced topics such as research design or data analysis, it effectively serves its purpose as an introductory text. Users appreciate the book's simple and easy-to-follow explanations, making it a great resource for anyone embarking on a statistical learning journey.

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    Pros

    • Clear explanations and easy to understand
    • Ideal for beginners in statistics
    • Helpful for students pursuing higher education
    • Good foundation for data science and analytics
    • Well-written with practical examples

    Cons

    • May not cover advanced statistical concepts

    Product Price History

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