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  Author: creativelivenew1   |   26 January 2026   |   Comments icon: 0

Free Download Data Storytelling for Business Decisions: A Practical Guide to Data Visualisation and Storytelling for Data and Business Analysts (Learn Practical Data ... and Storytelling for Better Decisions)
English | December 23, 2025 | ASIN: B0GC1VS4MX | 393 pages | Epub | 11.90 MB
"Data is everywhere, but only the stories you tell with it get noticed-and remembered." In Data Storytelling for Business Decisions, I show you how to transform raw numbers into clear, persuasive stories that decision-makers actually remember. Drawing on lessons from data analysis, visualization, storytelling, and design, this book gives you a practical framework to connect data with human decision-making. Inside this book, you'll learn how to: Craft powerful hooks that capture attention and make your insights memorable Turn business challenges into clear, decision-focused questions that guide your analysis and drive results. Transform raw data into meaningful insights your audience can easily understand and act on. Choose the perfect chart for trends, comparisons, distributions, and trade-offs. Design visuals that are honest, clear, and impactful, avoiding misleading or confusing graphs. Use color, layout, and hierarchy strategically to highlight what truly matters. Structure compelling data stories using proven storytelling frameworks for maximum clarity. Write titles, annotations, and narratives that explain-not overwhelm-even complex insights. Communicate uncertainty, risk, and trade-offs responsibly, building credibility and trust. Decide when to use dashboards and when to tell a focused data story to influence decisions. Present insights confidently in reports, presentations, and executive briefings, ensuring your data leads to action. Go from analyst to influencer by delivering insights that inspire action and drive decisions With examples, templates, and exercises, you'll learn how to connect the dots between data, visualization, and narrative-the three pillars of effective communication. Unlike many books that focus only on visualization techniques, Data Storytelling for Business Decisions places decision-making at the center of every chart, story, and explanation. You will learn not just how to show data, but how to align insights with business goals, stakeholder needs, and organizational context. Who this book is for: Data analysts and business analysts Managers and decision-makers who work with data Professionals who create reports, dashboards, or presentations Anyone who wants to communicate insights clearly and credibly Data alone doesn't change minds. Stories and effective visualization do. This book shows you how to turn data into decisions, communicate with clarity, and influence outcomes at every level of your organization. Take control of your data, influence your stakeholders, and become the go-to professional who makes insights matter-start telling data stories that drive real business decisions today.

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  Author: creativelivenew1   |   26 January 2026   |   Comments icon: 0

Free Download Data Science by Yi Yu, Haiwei Pan, Hongzhi Wang
English | November 11, 2025 | ISBN: 9819525659 | 655 pages | PDF | 77 Mb
The 41 full papers and 1 short papers included in this book were carefully reviewed and selected from 135 submissions. They were organized in topical sections as follows: Education using big data, intelligent computing or data mining, etc.; Education research, methods and materials for data science and engineering; Machine Learning for Data Science; Basic Theory and Techniques for Data Science; Application of Blockchain; Big Data Management and Applications; Industrial Digitization and Applications; Applications of Data Science; Data Security and Privacy; Data-driven Scientific Research; and Novel methods for data analytics.

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  Author: creativelivenew1   |   26 January 2026   |   Comments icon: 0

Free Download Data Science with R Programming : A Comprehensive Guide to Statistical Analysis and Visualization
English | November 15, 2025 | ASIN: B0F7GFT9VM | 314 pages | EPUB (True) | 381.18 KB
Overloaded with Excel's limits and Python's steep curve, staring at messy datasets that refuse to yield insights while your analysis grinds to a halt? You're a career-switcher or analyst poised for data dominance, but fragmented R tutorials drown you in code without context, leaving stats foggy, Descriptions pixelated, and ML models mythical-your resume gathering dust. What if you could command Data Science with R Programming to A Comprehensive Guide to Statistical Analysis and Visualization, transforming raw numbers into career catapults? Ignite your R revolution with Data Science with R Programming: A Comprehensive Guide to Statistical Analysis and Visualization-your scratch-to-pro playbook for data mastery.

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  Author: creativelivenew1   |   26 January 2026   |   Comments icon: 0

Free Download Data Science with Julia : Build Models and Analyze Data
English | November 15, 2025 | ASIN: B0G2FM82L7 | Pages not found | EPUB (True) | 187.34 KB
Bogged down by Python's sluggish runs on massive datasets, or R's clunky syntax choking your ML pipelines while deadlines demand speed and precision? You're a data wrangler itching to crunch terabytes, visualize insights, and deploy models that fly-not crawl-but scattered Julia scraps leave you debugging forever, prototypes abandoned, and insights buried. What if you could harness Data Science with Julia's turbocharged core to Build Models and Analyze Data that outpace rivals, all through guided projects? Accelerate to analytics apex with Data Science with Julia: Build Models and Analyze Data-your high-octane engine for data dominance.

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  Author: creativelivenew1   |   26 January 2026   |   Comments icon: 0

Free Download Data Science Management: Vom ersten Konzept bis zur Governance datengetriebener Organisationen (Animals)
Deutsch | 13. Januar 2024 | ASIN: B0CTHWQW4Y | 310 Seiten | EPUB (True) | 5.06 MB
Der umfassende Leitfaden für das Managen von Data-Science-Projekten für Studium und Beruf Themenspektrum: Designen von Projekten, Datenverarbeitung, Analysemethoden, Rolle und Aufgaben von Data Science Manager:innen, Kommunikation mit Stakeholdern, Automatisierung, MLOps, Governance Inklusive konkreter Toolsets wie z.B. Softwarepakete, Checklisten, Projekt-Canvases sowie Übersichten über bewährte Methoden Die Autoren sind Professoren für Data Science bzw. Data Science Management an der Digital Business University of Applied Sciences und Startup-Gründer Viele Data-Science-Vorhaben scheitern an organisatorischen Hürden: Oftmals ist die Rolle des Managements in diesen Projekten nicht klar definiert, zudem gibt es unterschiedliche Vorstellungen, wie gutes Projektmanagement für Data-Science-Produkte aussehen muss. Dieser praxisorientierte Leitfaden unterstützt Sie beim erfolgreichen Management von Data-Science-Projekten jeder Größe. Sie erfahren zunächst, wie Datenanalysen durchgeführt werden und welche Tools hierfür infrage kommen. Marcel Hebing und Martin Manhembué zeigen dann Wege auf, wie Sie Projekte entlang des Data-Science-Lifecycles planen und eine datengetriebene Organisationskultur implementieren. Dabei wird die Rolle von Data-Science-Managerinnen und -Managern im Kontext eines modernen Leaderships beleuchtet und der Aufbau von Datenanalyse-Teams beschrieben. Jeder Themenbereich wird ergänzt durch Hands-on-Kapitel, die Toolsets und Checklisten für die Umsetzung in die Praxis enthalten. Themen des Buchs: Data-Science-Grundlagen: Designen von Projekten, Datenformate und Datenbanken, Datenaufbereitung, Analysemethoden aus Statistik und Machine Learning Management von Data-Science-Projekten: Grundlagen des Projektmanagements, typische Fallstricke, Rolle und Aufgaben des Managements, Data-Science-Teams, Servant und Agile Leadership, Kommunikation mit Stakeholdern Infrastruktur und Architektur: Automatisierung, IT-Infrastruktur, Data-Science-Architekturen, DevOps und MLOps Governance und Data-driven Culture: Digitale Transformation, Implementierung von Data Science im Unternehmen, Sicherheit und Datenschutz, New Work, Recruiting

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  Author: creativelivenew1   |   26 January 2026   |   Comments icon: 0

Free Download Data Preparation and Analysis: An easy approach to master data science (English Edition) by Dr. Pooja Sharma
English | August 11, 2025 | ISBN: 9365896193 | 282 pages | MOBI | 1.99 Mb
Data science is an evolving field, and the ability to effectively prepare and analyze data is a critical skill for any aspiring professional. This book serves as a comprehensive introduction to the foundational concepts and tools of data science, making it ideal for beginners and aspiring data professionals.

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  Author: creativelivenew1   |   26 January 2026   |   Comments icon: 0

Free Download Data Mining Techniques with SAS Enterprise Miner. Sampling, Exporatory Analysis, Modify and Association Rules
English | November 30, 2025 | ISBN: 9798232498221 | 205 Pages | EPUB (True) | 7.22 MB
SAS Institute implements data mining in Enterprise Miner software, which will be used in this book, and other procedures and modules (STAT, ETS,...) which will also be used throughout the text. SAS Institute defines the concept of Data Mining as the process of selecting ( Selecting ), explore ( Exploring ), modify ( Modifying ), modeling ( Modeling ) and rating ( Assessment ) large amounts of data with the aim of uncovering unknown patterns which can be used as a comparative advantage with respect to competitors. This process is summarized with the acronym SEMMA which are the initials of the 5 phases which comprise the process of Data Mining according to SAS Institute. This book delves into the selection, exploration, modification, and association analysis phases in data mining

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  Author: creativelivenew1   |   26 January 2026   |   Comments icon: 0

Free Download Data Management, Analytics and Innovation
English | November 12, 2025 | ISBN: 9819665361 | 436 pages | True ePUB, PDF | 72 Mb
This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at 9th International Conference on Data Management, Analytics and Innovation (ICDMAI 2025), held during 17-19 January 2025 at St. Xavier's College (Autonomous), Kolkata, India. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. The book is divided into three volumes.

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  Author: creativelivenew1   |   26 January 2026   |   Comments icon: 0

Free Download Data Management, Analytics and Innovation (Lecture Notes in Networks and Systems) by Saptarsi Goswami, Sajal Saha, Kanadpriya Basu
English | November 23, 2025 | ISBN: 9819658594 | 440 pages | PDF | 29 Mb
This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at 9th International Conference on Data Management, Analytics and Innovation (ICDMAI 2025), held during 17-19 January 2025 at St. Xavier's College (Autonomous), Kolkata, India. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. The book is divided into three volumes.

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  Author: creativelivenew1   |   26 January 2026   |   Comments icon: 0

Free Download Data Management Workbook
by Briney, Kristin

English | 2025 | ISBN: 9781784275747 | 114 pages | True epub | 5.61 MB

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