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Data Analysis in Microsoft Excel: Deliver Awesome Analytics in 3 Easy Steps Using VLOOKUPS, Pivot Tables, Charts And More
English | July 21, 2023 | ASIN: B0CCCPKTTX | 224 pages | EPUB (True) | 3.08 MB
In the digital age, data is the new gold. Master the art of data analysis using the author's three-step system and unlock unprecedented potential in your career and beyond.

"Data Analysis in Microsoft Excel" provides a unique system designed to elevate your analytical skills, whether you're navigating a career change, stepping out of education into the professional world, or aiming to gain confidence in a new role with an analytical component.
Are you tired of taking endless courses only to find you don't know how to apply your knowledge?
Do you look at a dataset and don't know where to begin?
Do you even understand what an organisation needs to know from its data?
The system is designed to help you ask incisive questions, develop potent problem statements, and tailor your analysis to suit various audience needs. The content is a fusion of business and analytical concepts coupled with practical exercises, facilitating a deeper understanding of the technical skills required for effective data analysis. The book is not just about understanding Excel-it's about nurturing a critical analytical mindset and honing the techniques that distinguish good analysts.
Learn how to import, improve and enrich data
Understand the key Excel functions used in data analysis
Discover expert tips and avoid common mistakes in planning an analysis
Craft insightful problem statements and hypotheses to explore, maximising value for an organisation
Analyse stakeholder needs and wants for immediate impact
Build a project for your portfolio to land your next role
You may be thinking, "Can I really become proficient in data analysis through a book?" or "I'm not very technical; will I be able to grasp the concepts?" Rest assured, this guide is designed with every reader in mind. Its accessible language ensures that even if you're starting from scratch or have only limited exposure to data analysis, you can follow along and gain substantial skills and confidence.
Don't let the world of data continue to be an enigma. Equip yourself with the skills to harness data, drive better decisions, and stand out in today's digital landscape. The power of data is at your fingertips-it's time you unlock it.

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[booksz]

Data Analysis of Medical Studies: Reading and Reporting
English | 2025 | ISBN: 3031499832 | 406 Pages | PDF EPUB (True) | 60 MB
This book is written for the many health professionals who are regularly frustrated by elegant but ambiguous descriptions of results of data analysis. It uses articles of the New England Journal of Medicine to demonstrate how ambiguous descriptions of results of data analysis may be read, so that it is clear what they do and do not reveal. These demonstrations also show how statistics is misused.

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Seon Ki Park, "Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV) "
English | ISBN: 3030777219 | 2022 | 726 pages | EPUB | 192 MB
This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including adaptive observations, sensitivity analysis, parameter estimation and AI applications. The book is useful to individual researchers as well as graduate students for a reference in the field of data assimilation.

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Data Contracts in Practice
English | 2025 | ISBN: 9781836209157 | 162 Pages | EPUB | 4 MB
In Data Contracts in Practice, seasoned business-IT strategist Ryan Collingwood draws on over 20 years of cross-functional expertise in product management, data analysis, and software development to offer a transformative approach to managing complex data ecosystems in organizations of all sizes. He introduces data contracts as a powerful tool for formalizing expectations, roles, and guarantees of data exchange across domain boundaries and organizational structures, whether centralized or decentralized.

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Radek Silhavy, "Data Science and Algorithms in Systems: Proceedings of 6th Computational Methods in Systems and Software 2022, Vol. 2 "
English | ISBN: 3031214374 | 2023 | 1040 pages | EPUB | 134 MB
This book offers real-world data science and algorithm design topics linked to systems and software engineering. Furthermore, articles describing unique techniques in data science, algorithm design, and systems and software engineering are featured.

This book is the second part of the refereed proceedings of the 6th Computational Methods in Systems and Software 2022 (CoMeSySo 2022). The CoMeSySo 2022 conference, which is being hosted online, is breaking down barriers. CoMeSySo 2022 aims to provide a worldwide venue for debate of the most recent high-quality research findings.

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Data Science and Applications: Proceedings of ICDSA 2024, Volume 1
English | 2025 | ISBN: 9819627230 | 560 Pages | PDF (True) | 35 MB
This book gathers outstanding papers presented at the 5th International Conference on Data Science and Applications (ICDSA 2024), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from July 17 to 19, 2024. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

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Yap Bee Wah, "Data Science and Emerging Technologies: Proceedings of DaSET 2022 "
English | ISBN: 9819907403 | 2023 | 572 pages | EPUB | 74 MB
The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2022), held online at UNITAR International University, Malaysia, during December 20-21, 2022. This book aims to present current research and applications of data science and emerging technologies. The deployment of data science and emerging technology contributes to the achievement of the Sustainable Development Goals for social inclusion, environmental sustainability, and economic prosperity. Data science and emerging technologies such as artificial intelligence and blockchain are useful for various domains such as marketing, health care, finance, banking, environmental, and agriculture. An important grand challenge in data science is to determine how developments in computational and social-behavioral sciences can be combined to improve well-being, emergency response, sustainability, and civic engagement in a well-informed, data-driven society. The topics ofthis book include, but not limited to: artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.

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Data Storytelling for Data Professionals
English | 2025 | h264, yuv420p, 1280x720 | 48000 Hz, 2channels | Duration: 1h 23m | 186 MB
In a world saturated with data, the ability to tell a story through numbers is what distinguishes a true data professional. This course opens with a foundational understanding of data storytelling-its history, evolution, and importance in business contexts. Through real-world examples, learners will see how impactful stories can be built from datasets to influence decision-making and engage stakeholders.

The journey continues with a deeper dive into the mechanics of storytelling. Learners will explore the psychological and strategic elements that make data stories resonate. Key aspects such as visualizations, narrative arcs, emotional appeal, and the use of analogies will be explored to help participants construct stories that not only inform but inspire action. Special emphasis is given to audience-centric storytelling and ensuring ethical data communication throughout.

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Data Structures in C:: A Comprehensive Guide for Students (C/C++ data structure)
English | 2025 | ASIN: B0DSC638MH | 283 pages | Epub | 1.27 MB
Why This Book?

In the rapidly evolving field of computer science, data structures form the backbone of efficient programming. Understanding how to organize, store, and manipulate data effectively is essential for solving complex problems in almost every area of software development, whether it's building scalable applications, optimizing performance, or ensuring memory efficiency.
This book aims to bridge the gap between theoretical concepts and practical application by using the C programming language to introduce and implement various data structures. C, with its low-level access to memory, allows a deeper understanding of how data is stored and manipulated at a hardware level. Through this book, we seek to equip you with the tools and knowledge needed to master data structures, build efficient algorithms, and enhance your problem-solving abilities.
The purpose of this book is not just to provide a theoretical explanation of data structures but to offer practical, hands-on guidance. By the end of this book, you'll have a solid understanding of core data structures, their implementations in C, and their real-world applications, enabling you to approach programming challenges with confidence and precision.
Who Should Read This Book?
This book is intended for students and professionals who wish to gain a deep understanding of data structures and their implementation in C. Specifically, it is targeted at:
BTech, BCA, and MCA Students: If you're studying computer science or engineering, this book provides a structured, in-depth exploration of essential data structures and algorithms using C. It will serve as both a textbook for learning and a reference guide for your coursework and future projects.
Aspiring Programmers: Whether you are a beginner looking to learn the fundamentals of C or an intermediate programmer trying to strengthen your data structures knowledge, this book will help you build a solid foundation in algorithmic thinking and data management.
Software Developers and Engineers: If you're working as a software engineer and looking to refresh your knowledge of data structures, particularly in C, or if you are preparing for technical interviews where understanding data structures is critical, this book will be a valuable resource.
Anyone Interested in Problem-Solving: Data structures form the basis of solving computational problems efficiently. If you're interested in competitive programming or algorithmic challenges, mastering these concepts will be essential to your success.
How to Use This Book
This book is designed to be a practical, hands-on guide, combining theory with real-world examples. You can use it in the following ways:
Sequential Learning: If you're a beginner or new to data structures, it's best to read the chapters in order. Each chapter builds on the previous one, gradually increasing in complexity. Start with the basics like arrays and linked lists before moving on to more advanced topics like graphs and trees.
Topic-Based Reference: If you're already familiar with some data structures or concepts but need a quick reference, feel free to skip to the relevant chapters. The table of contents allows easy navigation to topics like sorting algorithms, trees, and graphs.
Hands-On Practice: Each chapter contains practical examples and code snippets in C. You should write, run, and modify the provided code on your own system to gain a deeper understanding of how each data structure operates. Experimenting with the code will reinforce the theoretical concepts discussed in the book.

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Data-Driven Cybersecurity: Reducing Risk with Proven Metrics
English | 2025 | ISBN: 1633436101 | 488 Pages | EPUB | 4 MB
Every business decision should be driven by data and cyber security is no exception. In Data-Driven Cybersecurity, you'll master the art and science of quantifiable cybersecurity, learning to harness data for enhanced threat detection, response, and mitigation. You'll turn raw data into meaningful intelligence, better evaluate the performance of your security teams, and proactively address the vulnerabilities revealed by the numbers.

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Data-Driven Decisions: An Introduction to Machine Learning
English | 2025 | ISBN: 9798230822387 | 276 pages | EPUB (True) | 4.68 MB
Data-Driven Decisions: An Introduction to Machine Learning provides a comprehensive and accessible introduction to the principles and applications of machine learning for students, professionals, and decision-makers. Combining theoretical foundations with practical examples, this book guides readers through key concepts such as supervised and unsupervised learning, feature engineering, model evaluation, and interpretability. With a focus on how machine learning drives informed, data-driven decision-making across industries, the text balances technical depth with clarity. Through case studies, hands-on exercises, and discussions on ethical considerations, this book equips readers with the tools to apply machine learning effectively in solving real-world problems.

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[booksz]

Data-Driven Decisions: The Blueprint for Success
English | 2025 | ASIN: B0F9F7S3M9 | 91 pages | EPUB (True) | 1.09 MB
Data-Driven Decisions: The Blueprint for Success

Engr Dr Naila Hina
"Data-Driven Decisions: The Blueprint for Success" refers to the strategic use of data to guide business choices and improve outcomes. Organizations that embrace data-driven decision-making rely on analytics, metrics, and insights rather than intuition or guesswork.

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Database and API Project with Python: Desktop applications in Python with Django, Flask and more.
English | 2023 | ASIN: B0C23DGWGM | 396 pages | Epub | 3.05 MB
In this book you will learn:

1. Transaction Management with Django
2. Migrating your Django Project to Heroku
3. Asynchronous Tasks With Django and Celery
4. Build a URL Shortener With FastAPI
5. Python and MongoDB: Connecting to NoSQL Databases
6. Python and MySQL Database: A Practical Introduction
7. Handling SQL Databases With PyQt
8. Pandas: How to Read and Write Files
9. Build a Contact Book With Python, PyQt, and SQLite
10. Data Engineer Interview Questions
11. Preventing SQL Injection Attacks
I have explained every topic in the most simplest way and you can use these topics in multiple place
Who this book is for
This book is highly appealing to all tech-savvy students, programming enthusiasts, IT graduates, and computer science professionals who want to build strong proficiency in building Python applications. Prior understanding of Python basic coding concepts like variables, expressions, and control structures is required to begin with this book.

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Database Design and Modeling with PostgreSQL and MySQL: Build efficient and scalable databases for modern applications using open source databases
English | 2024 | ASIN: B0CVXM21C9 | 373 pages | EPUB (True) | 8.42 MB
Become well-versed with database modeling and SQL optimization, and gain a deep understanding of transactional systems through practical examples and exercises

Key Features
Get to grips with fundamental-to-advanced database design and modeling concepts with PostgreSQL and MySQL
Explore database integration with web apps, emerging trends, and real-world case studies
Leverage practical examples and hands-on exercises to reinforce learning
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Database Design and Modeling with PostgreSQL and MySQL will equip you with the knowledge and skills you need to architect, build, and optimize efficient databases using two of the most popular open-source platforms.
As you progress through the chapters, you'll gain a deep understanding of data modeling, normalization, and query optimization, supported by hands-on exercises and real-world case studies that will reinforce your learning. You'll explore topics like concurrency control, backup and recovery strategies, and seamless integration with web and mobile applications. These advanced topics will empower you to tackle complex database challenges confidently and effectively. Additionally, you'll explore emerging trends, such as NoSQL databases and cloud-based solutions, ensuring you're well-versed in the latest developments shaping the database landscape. By embracing these cutting-edge technologies, you'll be prepared to adapt and innovate in today's ever-evolving digital world.
By the end of this book, you'll be able to understand the technologies that exist to design a modern and scalable database for developing web applications using MySQL and PostgreSQL open-source databases.
What you will learn
Design a schema, create ERDs, and apply normalization techniques
Gain knowledge of installing, configuring, and managing MySQL and PostgreSQL
Explore topics such as denormalization, index optimization, transaction management, and concurrency control
Scale databases with sharding, replication, and load balancing, as well as implement backup and recovery strategies
Integrate databases with web apps, use SQL, and implement best practices
Explore emerging trends, including NoSQL databases and cloud databases, while understanding the impact of AI and ML
Who this book is for
This book is for a wide range of professionals interested in expanding their knowledge and skills in database design and modeling with PostgreSQL and MySQL. This includes software developers, database administrators, data analysts, IT professionals, and students. While prior knowledge of MySQL and PostgreSQL is not necessary, some familiarity with at least one relational database management system (RDBMS) will help you get the most out of this book.
Table of Contents
SQL and NoSQL Databases: Characteristics, Design, and Trade-Offs
Building a Strong Foundation for Database Design
Getting Your Hands Dirty with PostgreSQL and MySQL
Mastering the Building Blocks of Database Design and Modeling
Advanced Techniques for Advanced Databases
Understanding Database Scalability
Best Practices for Building and Maintaining Your Database
The Future of Databases and Their Designs

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Uday Kiran Rage, "Database Systems for Advanced Applications. DASFAA 2022 International Workshops: BDMS, BDQM, GDMA, IWBT, MAQTDS, and PMB"
English | ISBN: 3031112164 | 2022 | 456 pages | EPUB | 63 MB
This volume constitutes the papers of several workshops which were held in conjunction with the 27th International Conference on Database Systems for Advanced Applications, DASFAA 2022, held as virtual event in April 2022.

The 30 revised full papers presented in this book were carefully reviewed and selected from 65 submissions.
DASFAA 2022 presents the following five workshops:
· First workshop on Pattern mining and Machine learning in Big complex Databases (PMBD 2021)
· 6th International Workshop on Graph Data Management and Analysis (GDMA 2022)
· First International Workshop on Blockchain Technologies (IWBT2022)
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