Data Science And Analytics A Foundational Guide
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Data Science and Analytics: A Foundational Guide
Author: Dr.Rajesh Kumar Verma
language: en
Publisher: Leilani Katie Publication
Release Date: 2024-09-21
Dr.Rajesh Kumar Verma, Professor, Department of CSE-(CyS,DS) and AI & DS, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering & Technology (VNRVJIET), Hyderabad, Telangana, India. N.Anuradha, Assistant Professor, Department of Computer Science (Data Science and Analytics), Subbalakshmi Lakshmipathy College of Science, Madurai, Tamil Nadu, India. Dr.R.Bagavathi Lakshmi, Associate Professor, Department of Information Technology, VELS Institute of Science Technology and Advanced Studies (VISTAS), Chennai, Tamil Nadu, India. Dr.S.Mohamed Rabeek, Assistant Professor, PG and Research Department of Chemistry, Jamal Mohamed College (Autonomous), Tiruchirappalli, Tamil Nadu, India.
A Friendly Guide to Data Science
Unlock the world of data science—no coding required. Curious about data science but not sure where to start? This book is a beginner-friendly guide to what data science is and how people use it. It walks you through the essential topics—what data analysis involves, which skills are useful, and how terms like “data analytics” and “machine learning” connect—without getting too technical too fast. Data science isn’t just about crunching numbers, pulling data from a database, or running fancy algorithms. It’s about asking the right questions, understanding the process from start to finish, and knowing what’s possible (and what’s not). This book teaches you all of that, while also introducing important topics like ethics, privacy, and security—because working with data means thinking about people, too. Whether you're a student exploring new skills, a professional navigating data-driven decisions, or someone considering a career change, this book is your friendly gateway into the world of data science, one of today’s most exciting fields. No coding or programming experience? No problem. You'll build a solid foundation and gain the confidence to engage with data science concepts— just as AI and data become increasingly central to everyday life. What You Will Learn Grasp foundational statistics and how it matters in data analysis and data science Understand the data science project life cycle and how to manage a data science project Examine the ethics of working with data and its use in data analysis and data science Understand the foundations of data security and privacy Collect, store, prepare, visualize, and present data Identify the many types of machine learning and know how to gauge performance Prepare for and find a career in data science Who This Book is for A wide range of readers who are curious about data science and eager to build a strong foundation. Perfect for undergraduates in the early semesters of their data science degrees, as it assumes no prior programming or industry experience. Professionals will find particular value in the real-world insights shared through practitioner interviews. Business leaders can use it to better understand what data science can do for them and how their teams are applying it. And for career changers, this book offers a welcoming entry point into the field—helping them explore the landscape before committing to more intensive learning paths like degrees or boot camps.
Strategic Guidance for the National Science Foundation's Support of the Atmospheric Sciences
Author: National Research Council
language: en
Publisher: National Academies Press
Release Date: 2007-07-01
The National Science Foundation's Division of Atmospheric Sciences (ATM) supports research to develop new understanding of Earth's atmosphere and how the Sun impacts it. Strategic Guidance for the National Science Foundation's Support of the Atmospheric Sciences provides guidance to ATM on its strategy for achieving its goals in the atmospheric sciences, including cutting-edge research, education and workforce development, service to society, computational and observational objectives, and data management. The report reviews how the atmospheric sciences have evolved over the past several decades and analyzes the strengths and limitations of the various modes of support employed by ATM. It concludes that ATM is operating in an environment that is ever more cross-disciplinary, interagency, and international, making a more strategic approach necessary to manage activities in a way that actively engages the atmospheric sciences community. At the same time, ATM should preserve opportunities for basic research, especially projects that are high risk, potentially transformative, or unlikely to be supported by other government agencies. Finally, ATM needs to be more proactive in attracting highly talented students to the atmospheric sciences as an investment in the ability to make future breakthroughs.