Exploring Data Science Concepts Techniques And Tools
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Exploring Data Science: Concepts, Techniques and Tools
Author: Dr. A.P. Siva Kumar
language: en
Publisher: IIP Iterative International Publishers
Release Date: 2025-06-24
Welcome to "Data Science with Python"! Whether you're a student, a professional looking to switch careers, or an enthusiast eager to explore the world of data science, this book is designed to take you on an exciting journey through one of the most rapidly growing fields in the world. Data science is the key to unlocking the potential of vast amounts of data in today's digital age. With Python emerging as the leading language for data analysis, machine learning, and visualization, this book leverages Python's rich ecosystem of libraries to provide a hands-on and practical approach to learning data science concepts. Throughout the chapters, you will gain a solid foundation in the essential techniques used in data science, including data manipulation, exploration, statistical analysis, machine learning, and data visualization. You’ll also find real-world examples, case studies, and step-by-step tutorials that will guide you in solving complex problems using Python. The book assumes no prior knowledge of data science or Python, making it suitable for beginners. As you progress, you will gradually move into more advanced topics, empowering you to build your own data-driven solutions with confidence. By the end of this book, you will not only have a deep understanding of the core principles of data science but also be equipped with practical skills to tackle real-world challenges using Python’s powerful data science tools. Whether you're analyzing business data, building machine learning models, or visualizing complex datasets, you'll find the skills you need to succeed. Data science is an ever-evolving field, and as you embark on this journey, remembers that learning is continuous. This book serves as a foundation for that journey, and the possibilities are endless as you dive deeper into data science with Python.
R for Data Science
Author: Hadley Wickham
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2016-12-12
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Data Science and Big Data Analytics
Author: EMC Education Services
language: en
Publisher: John Wiley & Sons
Release Date: 2015-01-27
Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!