Fundamentals Of Data Analytics
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Fundamentals Of Data Analytics
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Author : Rudolf Mathar
language : en
Publisher: Springer Nature
Release Date : 2020-09-15
Fundamentals Of Data Analytics written by Rudolf Mathar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-15 with Mathematics categories.
This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral clustering are derived as powerful tools. The methodological overlap between data science and machine learning is emphasized by demonstrating how data science is used for classification as well as supervised and unsupervised learning.
Fundamentals Of Machine Learning For Predictive Data Analytics Second Edition
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Author : John D. Kelleher
language : en
Publisher: MIT Press
Release Date : 2020-10-20
Fundamentals Of Machine Learning For Predictive Data Analytics Second Edition written by John D. Kelleher and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-20 with Computers categories.
The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. This second edition covers recent developments in machine learning, especially in a new chapter on deep learning, and two new chapters that go beyond predictive analytics to cover unsupervised learning and reinforcement learning. The book is accessible, offering nontechnical explanations of the ideas underpinning each approach before introducing mathematical models and algorithms. It is focused and deep, providing students with detailed knowledge on core concepts, giving them a solid basis for exploring the field on their own. Both early chapters and later case studies illustrate how the process of learning predictive models fits into the broader business context. The two case studies describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book can be used as a textbook at the introductory level or as a reference for professionals.
Fundamentals Of Data Science
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Author : Sanjeev J. Wagh
language : en
Publisher: CRC Press
Release Date : 2021-09-26
Fundamentals Of Data Science written by Sanjeev J. Wagh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-26 with Business & Economics categories.
Fundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork required to outlining all the concepts, techniques and tools required to understand Data Science. Data Science is an umbrella term for the non-traditional techniques and technologies that are required to collect, aggregate, process, and gain insights from massive datasets. This book offers all the processes, methodologies, various steps like data acquisition, pre-process, mining, prediction, and visualization tools for extracting insights from vast amounts of data by the use of various scientific methods, algorithms, and processes Readers will learn the steps necessary to create the application with SQl, NoSQL, Python, R, Matlab, Octave and Tablue. This book provides a stepwise approach to building solutions to data science applications right from understanding the fundamentals, performing data analytics to writing source code. All the concepts are discussed in simple English to help the community to become Data Scientist without much pre-requisite knowledge. Features : Simple strategies for developing statistical models that analyze data and detect patterns, trends, and relationships in data sets. Complete roadmap to Data Science approach with dedicatedsections which includes Fundamentals, Methodology and Tools. Focussed approach for learning and practice various Data Science Toolswith Sample code and examples for practice. Information is presented in an accessible way for students, researchers and academicians and professionals.
Python Fundamentals For Data Analytics
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Author : Dr Chandrika M
language : en
Publisher: BPB Publications
Release Date : 2024-10-24
Python Fundamentals For Data Analytics written by Dr Chandrika M and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-24 with Computers categories.
DESCRIPTION Python is a simple, easy-to-learn, and one of the top programming languages across the globe. As a result of advancements in AI, data mining, and numerical computing fields, Python has become a popular programming language catering to various stakeholders. It is a powerful tool for working with a variety of data. This book provides the basics of Python and an introduction to data analytics. This book offers a complete introduction to Python programming, covering everything from the basics to the advanced topics. It starts by explaining core concepts like syntax and the Python interpreter, then dives into data structures, control flow, functions, and modules. You will also learn about data analysis and visualization with popular libraries like NumPy, Pandas, Matplotlib, and Seaborn. It wraps up with practical case studies, showing how to apply Python in real-world scenarios effectively. The book serves as a step-by-step guide to performing data analysis. Its content is designed so that even a novice can learn and perform data analysis and visualization simply by following the instructions in the book. KEY FEATURES ● The book covers a wide range of topics, from Python fundamentals to advanced data analysis techniques. ● It includes practical exercises and real-world case studies to illustrate the applications of Python for data analysis. ● The book explains complex concepts in a clear and understandable manner. WHAT YOU WILL LEARN ● Understand the basics of programming languages and the role of the Python interpreter. ● Read about different data structures like lists, sets, tuples, and dictionaries, and understand their applications. ● Learn how to work with files in Python, including reading, writing, and appending data. ● Discover how to use NumPy and Pandas for efficient data manipulation and analysis. ● Learn how to create informative visualizations using Matplotlib and Seaborn. WHO THIS BOOK IS FOR This book is designed for students studying UG or PG courses in the computer science and applications domain. Learning Python is a simple way to begin the journey of data analytics. One of the in-demand domains in the job market, and research is data analytics. This book will be helpful for students interested in this domain. TABLE OF CONTENTS 1. Programming Languages and Python Interpreter 2. Python Fundamentals 3. Project Jupyter and JupyterLab Environment 4. Collection Types 5. Conditional Branching 6. Iterating Constructs 7. Functions and Methods 8. Modules 9. File Operations 10. Working with Data 11. Data Visualization 12. Case Studies Appendix I: Abbreviations
Fundamentals Of Big Data Analytics
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Author : Dr.T.Vijaya Saradhi
language : en
Publisher: GCS PUBLISHERS
Release Date : 2022-05-02
Fundamentals Of Big Data Analytics written by Dr.T.Vijaya Saradhi and has been published by GCS PUBLISHERS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-02 with Antiques & Collectibles categories.
Fundamentals of Big Data Analytics written by Dr.Thomman Vijaya SaradhiDr. Syed Azahad Mr .Sreejith R, Dr. Sreekumar Narayanan
Fundamentals Of Big Data Analytics
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Author : Mahmoud Ahmad Al-Khasawneh
language : en
Publisher: Xoffencer International Book Publication House
Release Date : 2025-05-29
Fundamentals Of Big Data Analytics written by Mahmoud Ahmad Al-Khasawneh and has been published by Xoffencer International Book Publication House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-29 with Computers categories.
The exponential rise of data in the modern digital era has been responsible for a transformation in the way that individuals, corporations, and governments conduct their operations. Every single click on the internet, every single transaction at a store, every single sensor in a machine, and every single post on social media all add to the massive amount of data that is known as Big Data, which is continuing to grow at an exponential rate. The tools and methods that have been used traditionally for data processing are no longer enough to effectively manage, process, or derive useful insights from the flood of information that is currently available. Big Data Analytics is a multidisciplinary area that integrates computer science, statistics, mathematics, and domain expertise in order to analyse and interpret vast and complex information. This has led to the birth of Big Data Analytics. In general, Big Data may be characterised by five fundamental aspects, which are sometimes referred to as the 5Vs. Volume refers to the volume of data that is produced each and every second. The rate at which information is generated and processed is referred to as velocity. A variety of data forms and kinds, including structured, semi-structured, and unstructured data, are referred to as variety. The trustworthiness and precision of the data is referred to as veracity. Value is defined as the possible advantages and insights that may be generated from data. The act of analysing these enormous databases in order to unearth previously concealed patterns, correlations, trends, and other important information is referred to as Big Data Analytics. With its help, businesses are able to make decisions based on data, improve the experiences of their customers, optimise their operations, and acquire a competitive advantage. It provides assistance for evidence-based approaches to the resolution of difficult issues in the realms of scientific research and public policy research. The capabilities of big data systems have been considerably improved as a result of the development of cutting-edge technologies such as distributed computing, cloud platforms, NoSQL databases, and real-time processing frameworks (such as Apache Hadoop and Apache Spark).
Fundamentals Of Data Analytics
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Author : Russell Dawson
language : en
Publisher:
Release Date : 2023-11-28
Fundamentals Of Data Analytics written by Russell Dawson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-28 with Computers categories.
Gain a competitive edge in today's data-driven world and build a rich career as a data professional that drives business success and innovation... Did you know that every minute, people around the world make 5.9 million searches on Google, share 1.7 million posts on Facebook, and watch 1 million hours of videos? And that's not even all of it! In total, the world creates a massive 328 million terabytes of data every day! Data is everywhere... and it has become the essential building block of this modern society, shaping the future of businesses, technology, and human interactions. It's no wonder that data professional roles, such as data analysts, data scientists, and data architects are now highly in demand in this data-driven world. And that's why now is the perfect time to pursue a career in data. But what does it take to become a competent data professional? This book has all the answers! Building a successful career in data is all about cultivating the necessary mindset, knowledge, and skills. This book is your ultimate guide to understanding the fundamentals of data analytics, helping you unlock the expertise of efficiently solving real-world data-related problems. Here is just a fraction of what you will discover: A comprehensive guide to the data analytics process - a beginner-friendly 5-step framework to kickstart your journey into analyzing and processing data How to get started with the fundamental concepts, theories, and models for accurately analyzing data Everything you ever needed to know about data mining and machine learning principles - your gateway to unlocking the secrets of data's hidden potential Why business run on a data-driven culture, and how you can leverage it using real-time business intelligence analytics Strategies and techniques to build a problem-solving mindset that can overcome any complex and unique dataset How to create compelling and dynamic visualizations that help generate insights and make data-driven decisions The 4 pillars of a new digital world - discover how emerging technologies will transform the landscape of analyzing data And much more. Believe it or not, you can be terrible in math or statistics and still pursue a career in data. Yes, you need a good grasp of the basics but always keep in mind that knowledge can be acquired and skills can be developed. The key is to not be intimidated by the strings of characters and numbers. Focus, instead, on building a mindset that thirsts for knowledge. You'll be surprised by how much you're able to do with just that. And this book is here to guide you throughout this journey, so that crunching data becomes second nature to you.
Fundamentals Of Data Analytics
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Author : Russell Dawson
language : en
Publisher:
Release Date : 2024-11-28
Fundamentals Of Data Analytics written by Russell Dawson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-28 with Computers categories.
Gain a competitive edge in today's data-driven world and build a rich career as a data professional that drives business success and innovation¿ Did you know that every minute, people around the world make 5.9 million searches on Google, share 1.7 million posts on Facebook, and watch 1 million hours of videos? And that's not even all of it! In total, the world creates a massive 328 million terabytes of data every day! Data is everywhere¿ and it has become the essential building block of this modern society, shaping the future of businesses, technology, and human interactions. It's no wonder that data professional roles, such as data analysts, data scientists, and data architects are now highly in demand in this data-driven world. And that's why now is the perfect time to pursue a career in data. But what does it take to become a competent data professional? This book has all the answers! Building a successful career in data is all about cultivating the necessary mindset, knowledge, and skills. This book is your ultimate guide to understanding the fundamentals of data analytics, helping you unlock the expertise of efficiently solving real-world data-related problems. Here is just a fraction of what you will discover: A comprehensive guide to the data analytics process - a beginner-friendly 5-step framework to kickstart your journey into analyzing and processing data How to get started with the fundamental concepts, theories, and models for accurately analyzing data Everything you ever needed to know about data mining and machine learning principles - your gateway to unlocking the secrets of data's hidden potential Why business run on a data-driven culture, and how you can leverage it using real-time business intelligence analytics Strategies and techniques to build a problem-solving mindset that can overcome any complex and unique dataset How to create compelling and dynamic visualizations that help generate insights and make data-driven decisions The 4 pillars of a new digital world - discover how emerging technologies will transform the landscape of analyzing data.
Data Analytics And Machine Learning
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Author : Pushpa Singh
language : en
Publisher: Springer Nature
Release Date : 2024-03-19
Data Analytics And Machine Learning written by Pushpa Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-19 with Computers categories.
This book presents an in-depth analysis of successful data-driven initiatives, highlighting how organizations have leveraged data to drive decision-making processes, optimize operations, and achieve remarkable outcomes. Through case studies, readers gain valuable insights and learn practical strategies for implementing data analytics, big data, and machine learning solutions in their own organizations. The book discusses the transformative power of data analytics and big data in various industries and sectors and how machine learning applications have revolutionized exploration by enabling advanced data analysis techniques for mapping, geospatial analysis, and environmental monitoring, enhancing our understanding of the world and its dynamic processes. This book explores how big data explosion, the power of analytics and machine learning revolution can bring new prospects and opportunities in the dynamic and data-rich landscape. It highlights the future research directions in data analytics, big data, and machine learning that explores the emerging trends, challenges, and opportunities in these fields by covering interdisciplinary approaches such as handling and analyzing real-time and streaming data.
Data Analytics For Business Intelligence
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Author : Zhaohao Sun
language : en
Publisher: CRC Press
Release Date : 2024-12-30
Data Analytics For Business Intelligence written by Zhaohao Sun and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Computers categories.
This book studies data, analytics, and intelligence using Boolean structure. Chapters dive into the theories, foundations, technologies, and methods of data, analytics, and intelligence. The primary aim of this book is to convey the theories and technologies of data, analytics, and intelligence with applications to readers based on systematic generalization and specialization. Sun uses the Boolean structure to deconstruct all books and papers related to data, analytics, and intelligence and to reorganize them to reshape the world of big data, data analytics, analytics intelligence, data science, and artificial intelligence. Multi-industry applications in business, management, and decision-making are provided. Cutting-edge theories, technologies, and applications of data, analytics, and intelligence and their integration are also explored. Overall, this book provides original insights on sharing computing, insight computing, platform computing, a calculus of intelligent analytics and intelligent business analytics, meta computing, data analyticizing, DDPP (descriptive, diagnostic, predictive, and prescriptive) computing, and analytics. This book is a useful resource with multi-industry applications for scientists, engineers, data analysts, educators, and university students.