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Название: Teach Yourself Data Science: From Beginner to Expert
Автор: Moses Kor
Издательство: Independently published
Год: October 20, 2024
Страниц: 353
Язык: английский
Формат: epub
Размер: 31.8 MB

This book offers step-by-step guidance to take you from foundational concepts to advanced Data Science and analytical techniques.

Data Science has transformed the way organizations make decisions, solve problems, and generate insights, making it one of the most sought-after skills in today‘s job market. However, mastering the various tools and methodologies can seem daunting without the right road-map.

That‘s where this book comes in—structured to guide you progressively from understanding the basics to implementing complex Machine Learning models and deriving meaningful insights.

The content is organized into 12 chapters, starting with a solid introduction to the core principles of Data Science. You‘ll then dive into practical data analysis techniques using popular tools like Python and Excel, allowing you to gain hands-on experience early on. From there, we explore essential mathematical and statistical concepts needed to perform accurate analysis and predictions.

As you progress, you‘ll learn how to work with large datasets, build databases using SQL, and manage data repositories, equipping you to handle real-world data challenges effectively. The second half of the book delves into Machine Learning, covering a range of regression models, classification algorithms, and clustering techniques that are crucial for developing predictive models.

Each chapter is designed to be both informative and practical, with exercises, examples, and case studies that will enable you to apply what you learn in real-world scenarios. By the end of the book, you will have transformed from a beginner into a confident practitioner capable of tackling complex data problems and building robust analytical solutions.

This book is more than just a learning resource—it is your companion on an exciting journey toward mastering Data Science.

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