Data Curious
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Data Curious
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Author : Carl Allchin
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-07-14
Data Curious written by Carl Allchin and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-14 with Business & Economics categories.
Data has been a missing part of most academic curriculums for a long time, and we're all being affected. During challenging times, creating a data-informed culture can help you pivot quickly or prevent expensive missteps. Developing a data curious organization will take advantage of the burgeoning data resources available as a result of increasing digitalization. With this book, authors Carl Allchin and Sarah Nabelsi show today's business professionals how to become data empowered. These tech-savvy business professionals will learn data literacy fundamentals—from understanding the possibilities to asking the right questions. You'll discover how to make the right technology choices and avoid pitfalls that could put your career and company at risk. Discover what an agile, empowered, data-driven organization should look like Examine how to use data in new ways to help your business come to life Learn key terms and concepts around data management and analytics Understand the differences between spreadsheet analysis and a data analytics pipeline Get advice for working with data scientists and explore ways to mitigate the IT department's concerns
Digitally Curious
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Author : Andrew Grill
language : en
Publisher: John Wiley & Sons
Release Date : 2024-11-04
Digitally Curious written by Andrew Grill and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-04 with Business & Economics categories.
A straightforward and accessible explainer of new and upcoming technologies for business leaders In Digitally Curious: Your guide to navigating the future of AI and all things tech, futurist, speaker, and technology trends expert Andrew Grill delivers an easy-to-follow and incisive discussion of current and future technologies, as well as how leading companies are deploying them. The author examines critical business concepts, like the future of work, from a technical and human-centric point of view and how Artificial Intelligence will impact us at work and in society. He includes a broad range of relevant technologies and platforms, offering examples that will be immediately relevant to any industry and business. Digitally Curious offers recent and relevant examples via accessible and revealing interviews with global business leaders from various fields. The book also provides: Actionable insights and end-of-chapter takeaways, with links to further information and additional resources Complimentary access to a companion website created and updated by the author, a 30-year veteran of technology and business Immediately applicable steps you can implement right away to create positive change in your business Digitally Curious is perfect for managers, executives, board members, and other business leaders. It is the ideal resource for anyone looking for a simple and straightforward explanation of how new and upcoming tech and digital trends will impact you at work and in broader society.
Data Visualisation
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Author : Andy Kirk
language : en
Publisher: SAGE
Release Date : 2019-07-08
Data Visualisation written by Andy Kirk and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-08 with Social Science categories.
One of the "six best books for data geeks" - Financial Times With over 200 images and extensive how-to and how-not-to examples, this new edition has everything students and scholars need to understand and create effective data visualisations. Combining ‘how to think’ instruction with a ‘how to produce’ mentality, this book takes readers step-by-step through analysing, designing, and curating information into useful, impactful tools of communication. With this book and its extensive collection of online support, readers can: Decide what visualisations work best for their data and their audience using the chart gallery See data visualisation in action and learn the tools to try it themselves Follow online checklists, tutorials, and exercises to build skills and confidence Get advice from the UK’s leading data visualisation trainer on everything from getting started to honing the craft.
Be Data Literate
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Author : Jordan Morrow
language : en
Publisher: Kogan Page Publishers
Release Date : 2024-09-03
Be Data Literate written by Jordan Morrow and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-03 with Computers categories.
WINNER: International Book Awards 2023 - Business: Technology (1st edition) Not everyone needs to be a data scientist, but everyone should be data literate in a fast-moving world that brings new technological developments every day. It is not enough for a business to have the best data if those using it don't understand the right questions to ask or how to use the information generated to make decisions. Be Data Literate is the essential guide to developing the curiosity, creativity and critical thinking necessary to make anyone data literate, without needing a data science degree. With learnings to show development and real-world examples from industries implementing data literacy skills, this new edition includes groundbreaking insights into the future of data and AI. Be Data Literate is a practical guide to understanding the four levels of analytics, how to analyze data and the key steps to making smarter, data-informed decisions.
Data Minds
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Author : Jo Boaler
language : en
Publisher: Corwin Press
Release Date : 2025-07-05
Data Minds written by Jo Boaler and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-05 with Education categories.
Develop curious minds. Empower every learner. Shape the future. How can we prepare students for a world where data-driven decision-making shapes nearly every aspect of life? Data Minds: How Today’s Teachers Can Prepare Students for Tomorrow’s World helps K–8 educators infuse data literacy into everyday lessons across disciplines, without overwhelming existing curricula. Data literacy is an ability and willingness to engage with and understand data in the world, and it can be incorporated throughout the school day to encourage student agency. Legendary educators Jo Boaler and Cathy Williams inspire teachers to develop "data minds" in their students—fostering analytical, creative, and skeptical thinkers who can successfully navigate the data-rich world. Aligned with current math, STEM, and GAISE II standards, this book Provides innovative, real-world stories from classrooms across the globe, offering inspiration and insight from other educators Highlights five key habits of mind that position students actively, giving them a role in seeking and investigating knowledge deeply Includes engaging and fascinating examples of data visualizations that demonstrate that data analysis goes way beyond charts and strings of numbers Offers flexible frameworks, including the Four-Part Data Cycle, that focus on asking questions, analyzing patterns, and developing multi-modal representations like graphs, maps, and even art pieces Presents extensive teacher "data moves," reflection questions, and examples in each chapter showing how to connect lessons to students’ interests, from oceanography to basketball Includes online access to free professional development resources and accompanying lessons through Stanford University’s youcubed From forming data questions to cultivating creativity, Data Minds will help educators turn every lesson into an opportunity for meaningful discovery. By integrating data literacy into the curriculum, teachers can unlock new levels of student engagement at the same time they are preparing learners for the demands of tomorrow′s workforce.
Big Data Analytics
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Author : Vasudha Bhatnagar
language : en
Publisher: Springer
Release Date : 2013-12-06
Big Data Analytics written by Vasudha Bhatnagar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-06 with Computers categories.
This book constitutes the thoroughly refereed conference proceedings of the Second International Conference on Big Data Analytics, BDA 2013, held in Mysore, India, in December 2013. The 13 revised full papers were carefully reviewed and selected from 49 submissions and cover topics on mining social media data, perspectives on big data analysis, graph analysis, big data in practice.
Python For Geospatial Data Analysis
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Author : Bonny P. McClain
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-10-19
Python For Geospatial Data Analysis written by Bonny P. McClain and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-19 with Computers categories.
In spatial data science, things in closer proximity to one another likely have more in common than things that are farther apart. With this practical book, geospatial professionals, data scientists, business analysts, geographers, geologists, and others familiar with data analysis and visualization will learn the fundamentals of spatial data analysis to gain a deeper understanding of their data questions. Author Bonny P. McClain demonstrates why detecting and quantifying patterns in geospatial data is vital. Both proprietary and open source platforms allow you to process and visualize spatial information. This book is for people familiar with data analysis or visualization who are eager to explore geospatial integration with Python. This book helps you: Understand the importance of applying spatial relationships in data science Select and apply data layering of both raster and vector graphics Apply location data to leverage spatial analytics Design informative and accurate maps Automate geographic data with Python scripts Explore Python packages for additional functionality Work with atypical data types such as polygons, shape files, and projections Understand the graphical syntax of spatial data science to stimulate curiosity
A Curious Moon
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Author : Rob Conery
language : en
Publisher:
Release Date : 2020-12-13
A Curious Moon written by Rob Conery and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-13 with categories.
Starting an application is simple enough, whether you use migrations, a model-synchronizer or good old-fashioned hand-rolled SQL. A year from now, however, when your app has grown and you're trying to measure what's happened... the story can quickly change when data is overwhelming you and you need to make sense of what's been accumulating. Learning how PostgreSQL works is just one aspect of working with data. PostgreSQL is there to enable, enhance and extend what you do as a developer/DBA. And just like any tool in your toolbox, it can help you create crap, slice off some fingers, or help you be the superstar that you are.That's the perspective of A Curious Moon - data is the truth, data is your friend, data is your business. The tools you use (namely PostgreSQL) are simply there to safeguard your treasure and help you understand what it's telling you.But what does it mean to be "data-minded"? How do you even get started? These are good questions and ones I struggled with when outlining this book. I quickly realized that the only way you could truly understand the power and necessity of solid databsae design was to live the life of a new DBA... thrown into the fire like we all were at some point...Meet Dee Yan, our fictional intern at Red:4 Aerospace. She's just been handed the keys to a massive set of data, straight from Saturn, and she has to load it up, evaluate it and then analyze it for a critical project. She knows that PostgreSQL exists... but that's about it.Much more than a tutorial, this book has a narrative element to it a bit like The Martian, where you get to know Dee and the problems she faces as a new developer/DBA... and how she solves them.The truth is in the data...
The Data Gaze
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Author : David Beer
language : en
Publisher: SAGE
Release Date : 2018-10-29
The Data Gaze written by David Beer and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-29 with Social Science categories.
A significant new way of understanding contemporary capitalism is to understand the intensification and spread of data analytics. This text is about the powerful promises and visions that have led to the expansion of data analytics and data-led forms of social ordering. It is centrally concerned with examining the types of knowledge associated with data analytics and shows that how these analytics are envisioned is central to the emergence and prominence of data at various scales of social life. This text aims to understand the powerful role of the data analytics industry and how this industry facilitates the spread and intensification of data-led processes. As such, The Data Gaze is concerned with understanding how data-led, data-driven and data-reliant forms of capitalism pervade organisational and everyday life. Using a clear theoretical approach derived from Foucault and critical data studies, the text develops the concept of the data gaze and shows how powerful and persuasive it is. It’s an essential and subversive guide to data analytics and data capitalism.
Data Science From Scratch
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Author : Joel Grus
language : en
Publisher: O'Reilly Media
Release Date : 2019-04-12
Data Science From Scratch written by Joel Grus and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-12 with Computers categories.
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out.