Foundations 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.
Publisher | Chapman and Hall/CRC; 1st edition (November 30, 2021) |
Language | English |
Hardcover | 468 pages |
ISBN-10 | 0367748452 |
ISBN-13 | 978-0367748456 |
Item Weight | 3.00 pounds (1.35 kg) |
Dimensions | 7.1 x 1.2 x 9.9 inches |
Edition | 1st |
Publication date | November 30, 2021 |
Part of series | Chapman & Hall/CRC Texts in Statistical Science |
Print length | 468 pages |
Date First Available | 2021-6-28 11:57:11 |
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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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.
Foundations of Statistics for Data Scientists: With R and Python (Chapman & Hall/CRC Texts in Statistical Science) 1st Edition
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