• Sat. Feb 8th, 2025

Statistics in Data Science

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  • Statistics in Data Science

ISBN: 978-81-967685-7-7
Authors: Dr. Atchuta Rao Sadu,  Dr. V. Sree Ramani, Dr. S. Sathish,  Mr. Kalyan Balasubramanian

Product Price ₹650.00
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Book Description

STATISTICS IN DATA SCIENCE! As we stand on the precipice of a datadriven era, the need for extracting meaningful insights from vast datasets has never been more crucial. This book, “STATISTICS IN DATA SCIENCE:  From Foundations to Advanced Techniques,” is crafted as a comprehensive guide for learners, practitioners, and enthusiasts

navigating the exciting landscape of data science.

Journey into STATISTICS IN DATA SCIENCE:

In the pages that follow, we embark on a journey that delves into the fundamental principles, methodologies, and advanced techniques that form the backbone of STATISTICS IN DATA SCIENCE. Whether you are a seasoned professional seeking to deepen your expertise or a newcomer eager to explore the possibilities of this field, this book is designed to cater to a diverse audience.
Key Features:

Foundational Concepts: We begin with a solid foundation in statistical concepts, ensuring that readers grasp the essential theories that underpin data science.  Practical Applications: Throughout the book, we emphasize the practical application of statistical methods. Real-world examples and case studies illustrate how statistical techniques can be wielded to solve complex problems.

Programming Proficiency: Recognizing the importance of programming in the data science toolkit, we provide practical examples using popular languages such as R and Python. Code snippets and exercises are integrated to enhance your hands-on skills.

Advanced Techniques: As we progress, the book explores advanced statistical techniques, including machine learning algorithms, Bayesian methods, and multivariate analysis. These topics empower readers to tackle sophisticated challenges in data science.

Who Can Benefit:

Students: Whether you are pursuing a degree in data science, statistics,  or a related field, this book serves as a valuable companion to your academic journey.

Professionals: For those already working in data-centric roles, this book offers an opportunity to expand your skill set, providing a bridge between foundational knowledge and advanced applications.

Enthusiasts: If you are simply curious about the world of data science,  the accessible language and practical examples make this book anengaging starting point for exploration.

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