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Foundations of Statistics for Data Scientists: With R and Python (Chapman & Hall/CRC Texts in Statistical Science) 1st Edition

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left_quoteFoundations of Statistics for Data Scientists: With R and Python is designed as a textbook for a one- or two-term introduction to mathematical statistics for students training to become data scientists.right_quote

Product Details

    PublisherChapman and Hall/CRC; 1st edition (November 30, 2021)
    LanguageEnglish
    Hardcover468 pages
    ISBN-100367748452
    ISBN-13978-0367748456
    Item Weight3.00 pounds (1.35 kg)
    Dimensions7.1 x 1.2 x 9.9 inches
    Edition1st
    Publication dateNovember 30, 2021
    Part of seriesChapman & Hall/CRC Texts in Statistical Science
    Print length468 pages
    Date First Available2021-6-28 11:57:11

    Features & Benefits

    • Textbook designed for 1 2 term mathematical statistics course for students training to be data scientists
    • Emphasis on using software to implement statistical methods and conduct simulations to illustrate key concepts
    • Introduces modern topics relevant for data scientists, like Bayesian inference and generalized linear models
    • Includes nearly 500 exercises grouped into Data Analysis and Applications and Methods and Concepts
    • Appendices introduce R and Python and contain solutions for odd numbered exercises
    • Website has expanded appendices and all data sets from examples and exercises

    About This Item

    Introducing the Foundations of Statistics for Data Scientists: With R and Python Chapman & HallCRC Texts in Statistical Science 1st Edition. If you're a data scientist looking to enhance your statistical knowledge and skills, this textbook is a must-have for your collection. Created by Chapman & HallCRC Texts, known for their reliable and authoritative texts in statistical science, this book is designed to provide you with a solid foundation in statistics using popular programming languages R and Python. With its comprehensive coverage and clear explanations, it's suitable for both novice and advanced learners. By delving into the world of statistics, you'll discover powerful techniques and methodologies that can be applied in various domains such as e-commerce, digital marketing, and data analysis.

    With the growing significance of data-driven decision making, having a strong understanding of statistics is invaluable in today's competitive landscape. This textbook covers essential topics such as e-commerce platforms, online selling strategies, digital marketing for e-commerce, inventory management, customer experience in e-commerce, website design, payment gateways, tracking and analytics, conversion rate optimization, mobile e-commerce, social media marketing, SEO, shipping and fulfillment, marketplace selling, customer retention, competitive analysis, e-commerce trends, branding, product photography, customer reviews, customer segmentation, omnichannel marketing, pricing strategies, data analysis, customer support, content marketing, email marketing, loyalty programs, and cross-selling and upselling. Whether you're a data scientist looking to enhance your skill set or an e-commerce professional seeking to leverage statistical techniques for business growth, this book offers a comprehensive and practical approach. The inclusion of R and Python code examples ensures that you can apply the concepts directly to your real-world projects. Stay ahead of the curve and take your statistical skills to new heights with the Foundations of Statistics for Data Scientists: With R and Python Chapman & HallCRC Texts in Statistical Science 1st Edition. Order your copy today and unlock the power of data-driven decision making in your endeavors..

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    Customer Questions & Answers

    • Question : Is calculus knowledge a prerequisite for reading this book?
      Answer : Yes, the book assumes knowledge of basic calculus.
    • Question : What software is used for statistical analyses in the book?
      Answer : All statistical analyses in the book use R software, with an appendix showing the same analyses with Python.
    • Question : Are there exercises provided in the book?
      Answer : Yes, the book contains nearly 500 exercises grouped into Data Analysis and Applications and Methods and Concepts, with solutions for odd-numbered exercises provided in the appendices.

    Customer Ratings

    4.2 out of 5
    8 customers ratings
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    Alan Agresti , Maria Kateri (Author) Mathematics Editorial Review

    The Foundations of Statistics for Data Scientists book is intended for beginners and covers a wide range of statistical concepts. However, the book is poorly organised, with advanced topics introduced before foundational concepts. Some topics are also explained poorly, making it confusing for readers who are new to statistics. Despite these flaws, the book covers the majority of topics that are important in data science, including normal and non-normal distributed data comparison tests. However, it does not provide an explanation for the widely used KStest. In terms of customer experience, one customer was disappointed to receive the book with a defect, although it did not affect the book's content.

    Pros

    • Covers a wide range of statistical concepts important in data science
    • Includes explanations and equations for important data science metrics

    Cons

    • Poorly organised, with advanced topics introduced before foundational concepts
    • Some topics are explained poorly
    • Does not provide an explanation for the widely used KStest

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    Foundations of Statistics for Data Scientists: With R and Python (Chapman & Hall/CRC Texts in Statistical Science) 1st Edition

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