Data Storytelling with Google Looker Studio
Data Storytelling with Google Looker Studio

Author: Sireesha Pulipati

Publisher: Packt Publishing Ltd

Published: 2022-10-27

Total Pages: 464

ISBN-13: 1800561954

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Apply data storytelling concepts and analytical thinking to create dashboards and reports in Looker Studio to aid data-driven decision making Key FeaturesGain a solid understanding of data visualization principles and learn to apply them effectivelyGet to grips with the concepts and features of Looker Studio to create powerful data storiesExplore the end-to-end process of building dashboards with the help of practical examplesBook Description Presenting data visually makes it easier for organizations and individuals to interpret and analyze information. Looker Studio is an easy-to-use, collaborative tool that enables you to transform your data into engaging visualizations. This allows you to build and share dashboards that help monitor key performance indicators, identify patterns, and generate insights to ultimately drive decisions and actions. Data Storytelling with Looker Studio begins by laying out the foundational design principles and guidelines that are essential to creating accurate, effective, and compelling data visualizations. Next, you'll delve into features and capabilities of Looker Studio – from basic to advanced – and explore their application with examples. The subsequent chapters walk you through building dashboards with a structured three-stage process called the 3D approach using real-world examples that'll help you understand the various design and implementation considerations. This approach involves determining the objectives and needs of the dashboard, designing its key components and layout, and developing each element of the dashboard. By the end of this book, you will have a solid understanding of the storytelling approach and be able to create data stories of your own using Looker Studio. What you will learnUnderstand what storytelling with data means, and explore its various formsDiscover the 3D approach to building dashboards – determine, design, and developTest common data visualization pitfalls and learn how to mitigate themGet up and running with Looker Studio and leverage it to explore and visualize dataExplore the advanced features of Looker Studio with examplesBecome well-versed in the step-by-step process of the 3D approach using practical examplesMeasure and monitor the usage patterns of your Looker Studio reportsWho this book is for If you are a beginner or an aspiring data analyst looking to understand the core concepts of data visualization and want to use Looker Studio for creating effective dashboards, this book is for you. No specific prior knowledge is needed to understand the concepts present in this book. Experienced data analysts and business intelligence developers will also find this book useful as a detailed guide to using Looker Studio as well as a refresher of core dashboarding concepts.

Data Storytelling with Google Looker Studio
Data Storytelling with Google Looker Studio

Author: Sireesha Pulipati

Publisher: Packt Publishing Ltd

Published: 2022-10-27

Total Pages: 464

ISBN-13: 1800561954

DOWNLOAD EBOOK

Apply data storytelling concepts and analytical thinking to create dashboards and reports in Looker Studio to aid data-driven decision making Key FeaturesGain a solid understanding of data visualization principles and learn to apply them effectivelyGet to grips with the concepts and features of Looker Studio to create powerful data storiesExplore the end-to-end process of building dashboards with the help of practical examplesBook Description Presenting data visually makes it easier for organizations and individuals to interpret and analyze information. Looker Studio is an easy-to-use, collaborative tool that enables you to transform your data into engaging visualizations. This allows you to build and share dashboards that help monitor key performance indicators, identify patterns, and generate insights to ultimately drive decisions and actions. Data Storytelling with Looker Studio begins by laying out the foundational design principles and guidelines that are essential to creating accurate, effective, and compelling data visualizations. Next, you'll delve into features and capabilities of Looker Studio – from basic to advanced – and explore their application with examples. The subsequent chapters walk you through building dashboards with a structured three-stage process called the 3D approach using real-world examples that'll help you understand the various design and implementation considerations. This approach involves determining the objectives and needs of the dashboard, designing its key components and layout, and developing each element of the dashboard. By the end of this book, you will have a solid understanding of the storytelling approach and be able to create data stories of your own using Looker Studio. What you will learnUnderstand what storytelling with data means, and explore its various formsDiscover the 3D approach to building dashboards – determine, design, and developTest common data visualization pitfalls and learn how to mitigate themGet up and running with Looker Studio and leverage it to explore and visualize dataExplore the advanced features of Looker Studio with examplesBecome well-versed in the step-by-step process of the 3D approach using practical examplesMeasure and monitor the usage patterns of your Looker Studio reportsWho this book is for If you are a beginner or an aspiring data analyst looking to understand the core concepts of data visualization and want to use Looker Studio for creating effective dashboards, this book is for you. No specific prior knowledge is needed to understand the concepts present in this book. Experienced data analysts and business intelligence developers will also find this book useful as a detailed guide to using Looker Studio as well as a refresher of core dashboarding concepts.

Big Data for beginners
Big Data for beginners

Author: Cybellium Ltd

Publisher: Cybellium Ltd

Published: 2023-09-26

Total Pages: 177

ISBN-13:

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Unlock the Power of Big Data Analytics in the Modern World Are you ready to dive into the fascinating world of big data analytics? "Big Data for Beginners" is your essential guide to understanding and harnessing the potential of big data in the modern era. Whether you're new to the concept or looking to expand your knowledge, this comprehensive book equips you with the foundational knowledge and tools to navigate the complexities of big data and make informed decisions. Key Features: 1. Introduction to Big Data: Dive deep into the fundamental concepts of big data, from its definition to its significance in today's data-driven landscape. Build a strong foundation that empowers you to navigate the vast world of big data. 2. Understanding Data Sources: Navigate the diverse sources of big data, including structured, semi-structured, and unstructured data. Learn how to gather, process, and manage data from various sources to extract valuable insights. 3. Big Data Technologies: Discover the technologies that power big data analytics. Explore tools like Hadoop, Spark, and NoSQL databases, understanding their role in processing and analyzing massive datasets. 4. Data Storage and Processing: Master the art of storing and processing big data effectively. Learn about distributed file systems, data warehouses, and batch and real-time processing to ensure scalability and efficiency. 5. Data Analysis and Visualization: Uncover strategies for analyzing and visualizing big data. Explore techniques for data exploration, pattern recognition, and creating compelling visual representations that convey insights effectively. 6. Machine Learning and Predictive Analytics: Delve into the world of machine learning and predictive analytics using big data. Learn how to build models that make accurate predictions and informed decisions based on massive datasets. 7. Big Data Security and Privacy: Explore the challenges of securing and preserving privacy in the realm of big data. Learn how to implement encryption, access controls, and anonymization techniques to protect sensitive information. 8. Real-World Applications: Discover the myriad applications of big data across industries. From healthcare to finance, retail to marketing, explore how big data is transforming business operations and decision-making. 9. Challenges and Future Trends: Gain insights into the challenges posed by big data, such as data quality and scalability issues. Explore the future trends and advancements that are shaping the evolution of big data analytics. 10. Ethical Considerations: Delve into the ethical considerations surrounding big data. Learn about responsible data usage, addressing bias, and maintaining transparency in the collection and analysis of data. Who This Book Is For: "Big Data for Beginners" is an indispensable resource for individuals, students, professionals, and enthusiasts who are eager to grasp the fundamentals of big data analytics. Whether you're a beginner curious about the world of data or an experienced professional seeking to enhance your skills, this book will guide you through the intricacies and empower you to harness the potential of big data.

Storytelling in Presentations For Dummies
Storytelling in Presentations For Dummies

Author: Sheryl Lindsell-Roberts

Publisher: John Wiley & Sons

Published: 2023-09-26

Total Pages: 399

ISBN-13: 1394201001

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Learn to influence audiences with storyopia: Stories that take them on a journey from what is to what could be: Storytelling in Presentations For Dummies shows you how to develop and deliver a presentation through storytelling, keeping audience interested, and most importantly, making them heroes that take action towards change. You’ll learn how to cull stories from your own experiences, and before you know it, you’ll have more stories than Aesop has fables. You’ll learn about the latest presentation software, so you can integrate visuals into your presentations and avoid the dreaded “Death by PowerPoint.” You’ll also learn how to deal with challenging on-the-spot situations, deliver investor pitches and executive briefs, and present a paper at a conference. Additionally, find out how to deliver someone else’s content and make it your own. This book will help you level up anywhere you need to present information by mastering the art of savvy presentations—the most effective business communications tools of our time. Identify experiences that can be molded into stories that drive change. Prepare powerful openings to hook your audience right away whether delivering in person, online, or hybrid Have your audience get the most from your presentation with an effective call to action Prepare a storyboard, which is like a frame-by-frame roadmap, that will mesh together what you’ll show and what you’ll tell Leverage software like Canva, Prezi, and Storyboarder to tie your presentation together Enjoy the colorful 8-page mini-booklet, “Storytelling to Storyboarding” This Dummies guide is perfect for any professional who needs to present, and at some time all professionals do. It’s also for entrepreneurs who want to build community and grow their business, in addition to students who want to wow teachers and classmates.

Storytelling With Data
Storytelling With Data

Author: Hans-Wilhelm Eckert

Publisher: Springer Nature

Published: 2022-10-31

Total Pages: 152

ISBN-13: 3658385553

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This book shows the role data plays in communication and marketing and how it can be used as an important source for storytelling. Because data, as a raw material of the digital age, inspires corporate strategy. Provided it is collected, interpreted and processed properly, it provides new and sometimes surprising insights into contexts and offers the opportunity to develop exciting stories from it. Stories that also create relevance with regard to corporate goals, spark dialogues and make communication effective. The author explains in an easy-to-understand way how data-based communication strategies can be turned into gripping stories. He also provides useful tools and shows why data can lie, how important its visual processing is, where its use meets ethical limits and why data protection is also a business opportunity. Using practical examples, the book offers marketing and communication experts - but also interested managers from other disciplines - numerous inspirations and new perspectives.

HR ANALYTICS
HR ANALYTICS

Author: GUPTA, DEEPA

Publisher: PHI Learning Pvt. Ltd.

Published: 2024-03-08

Total Pages: 406

ISBN-13: 8119364562

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This book provides a comprehensive overview of various aspects of HR analytics. It delves into important definitions, the significance of HR analytics, methods of data collection and management, as well as specific areas such as recruitment analytics, performance management analytics, employee engagement analytics, and diversity, equity and inclusion (DEI) analytics. The book also explores ethical considerations, implementation strategies, and the role of HR analytics in workforce planning, succession planning, and employee wellness. Additionally, it discusses monitoring the impact of interventions and offers insights into the future of HR analytics. Besides, it offers a range of practical tools and templates for various applications. KEY FEATURES • Comprehensive coverage: Covers a wide range of topics related to HR analytics from the basics to more specialized areas. • Diverse tools and techniques: Includes discussions on various data analysis techniques, such as predictive analytics, machine learning, and statistical modelling. • Practical templates and forms: Inclusion of templates and forms, such as employee attitude surveys and KPI dashboards, make this book more hands-on and practical. • Ethical and legal considerations: Focusses on ethics and compliance/legal considerations for the evolving landscape of HR analytics. • Future-oriented content: Discusses on the future of HR analytics and emerging trends is a dimension of forward-looking. • Agile HR analytics: Includes Agile HR Analytics as an emerging trend. • Staying updated: Acknowledges the importance of staying updated on HR analytics trends. • Clarity and accessibility: Presents a clear, accessible, and engaging text making the book reader-friendly. • The book primarily intended to the students of business schools is equally valuable to the professionals in the field. For instructor’s resources, visit https://www.phindia.com/HR_ analytics_deepa_mukul_partha TARGET AUDIENCE • MBA — HR • Data Analytics and HR Professionals

Data Science For Dummies
Data Science For Dummies

Author: Lillian Pierson

Publisher: John Wiley & Sons

Published: 2021-09-15

Total Pages: 439

ISBN-13: 1119811554

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Monetize your company’s data and data science expertise without spending a fortune on hiring independent strategy consultants to help What if there was one simple, clear process for ensuring that all your company’s data science projects achieve a high a return on investment? What if you could validate your ideas for future data science projects, and select the one idea that’s most prime for achieving profitability while also moving your company closer to its business vision? There is. Industry-acclaimed data science consultant, Lillian Pierson, shares her proprietary STAR Framework – A simple, proven process for leading profit-forming data science projects. Not sure what data science is yet? Don’t worry! Parts 1 and 2 of Data Science For Dummies will get all the bases covered for you. And if you’re already a data science expert? Then you really won’t want to miss the data science strategy and data monetization gems that are shared in Part 3 onward throughout this book. Data Science For Dummies demonstrates: The only process you’ll ever need to lead profitable data science projects Secret, reverse-engineered data monetization tactics that no one’s talking about The shocking truth about how simple natural language processing can be How to beat the crowd of data professionals by cultivating your own unique blend of data science expertise Whether you’re new to the data science field or already a decade in, you’re sure to learn something new and incredibly valuable from Data Science For Dummies. Discover how to generate massive business wins from your company’s data by picking up your copy today.

Coordinating Divisional and Departmental Student Affairs Assessment
Coordinating Divisional and Departmental Student Affairs Assessment

Author: Gavin W. Henning

Publisher: Taylor & Francis

Published: 2023-12-01

Total Pages: 203

ISBN-13: 100099838X

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By providing practical advice on how to inform and lead a successful assessment program in student affairs, Coordinating Divisional and Departmental Student Affairs Assessment, 2nd Edition helps student affairs professionals understand the impact of their initiatives, identify areas for improvement, and make data-driven decisions to enhance student learning, development, and engagement. Student affairs assessment plays a significant role in shaping the overall college experience. As higher education transforms, there is an even greater demand for student affairs assessment that informs practice, illuminates equity gaps, and improves student learning. This second edition builds upon the concepts of the first edition while adding essential topics that address the changing dynamics of leading assessment in a department or division in student affairs such as how to use and select assessment technology, meaningful ways to collaborate with institutional research, as well as creating equity-centered assessment practices. By utilizing the strategies in this book, student affairs divisions can create evidence-based practices that contribute to a more inclusive and supportive campus environment, foster student engagement, and ultimately enhance the educational journey for students. This updated and revised edition has been written with new and seasoned assessment practitioners in mind. It’s an ideal resource for graduate students and other student affairs practitioners who seek to find practical information to guide their own assessment practice.

Data-Driven Decision-Making for Business
Data-Driven Decision-Making for Business

Author: Claus Grand Bang

Publisher: Taylor & Francis

Published: 2024-08-22

Total Pages: 327

ISBN-13: 1040103332

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Research shows that companies that employ data-driven decision-making are more productive, have a higher market value, and deliver higher returns for their shareholders. In this book, the reader will discover the history, theory, and practice of data-driven decision-making, learning how organizations and individual managers alike can utilize its methods to avoid cognitive biases and improve confidence in their decisions. It argues that value does not come from data, but from acting on data. Throughout the book, the reader will examine how to convert data to value through data-driven decision-making, as well as how to create a strong foundation for such decision-making within organizations. Covering topics such as strategy, culture, analysis, and ethics, the text uses a collection of diverse and up-to-date case studies to convey insights which can be developed into future action. Simultaneously, the text works to bridge the gap between data specialists and businesspeople. Clear learning outcomes and chapter summaries ensure that key points are highlighted, enabling lecturers to easily align the text to their curriculums. Data-Driven Decision-Making for Business provides important reading for undergraduate and postgraduate students of business and data analytics programs, as well as wider MBA classes. Chapters can also be used on a standalone basis, turning the book into a key reference work for students graduating into practitioners. The book is supported by online resources, including PowerPoint slides for each chapter.

Data Science Essentials For Dummies
Data Science Essentials For Dummies

Author: Lillian Pierson

Publisher: John Wiley & Sons

Published: 2024-12-24

Total Pages: 199

ISBN-13: 1394297009

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Feel confident navigating the fundamentals of data science Data Science Essentials For Dummies is a quick reference on the core concepts of the exploding and in-demand data science field, which involves data collection and working on dataset cleaning, processing, and visualization. This direct and accessible resource helps you brush up on key topics and is right to the point—eliminating review material, wordy explanations, and fluff—so you get what you need, fast. Strengthen your understanding of data science basics Review what you've already learned or pick up key skills Effectively work with data and provide accessible materials to others Jog your memory on the essentials as you work and get clear answers to your questions Perfect for supplementing classroom learning, reviewing for a certification, or staying knowledgeable on the job, Data Science Essentials For Dummies is a reliable reference that's great to keep on hand as an everyday desk reference.