Products related to Project:
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Data Analytics in Project Management
This book aims to help the reader better understand the importance of data analysis in project management.Moreover, it provides guidance by showing tools, methods, techniques and lessons learned on how to better utilize the data gathered from the projects.First and foremost, insight into the bridge between data analytics and project management aids practitioners looking for ways to maximize the practical value of data procured.The book equips organizations with the know-how necessary to adapt to a changing workplace dynamic through key lessons learned from past ventures.The book’s integrated approach to investigating both fields enhances the value of research findings.
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1982 Uncovered: The Falklands War Mapping Project
War and its legacy are traumatic to individuals, communities, and landscapes.The impacts last long beyond the events themselves and shape lives and generations.Archaeology has a part to play in the recording of, and recovery from, such trauma.The Falklands War Mapping Project delivers the first intensive archaeological survey of the battlefields of the Falklands War.The project is pioneering in its inclusion of military veterans as part of the core team and unique in being the first to take veterans back to the battlefields on which they fought.Forty years after the events of 1982, the project provides a detailed assessment of the character, location, and condition of structural features and artefacts.The project also develops understandings of the role played by conflict heritage – and of landscapes, finds, and past events – in the recall of personal and collective memories.This sumptuously illustrated book brings together the perspectives of team members, institutional partners and others.It showcases the varied and important contributions archaeology can make beyond understandings of distant events linked to therapeutic progress, coming to terms with traumatic experiences, living with the past in the present, and forging new memories, relations, and futures.
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Data Analytics for Engineering and Construction Project Risk Management
This book provides a step-by-step guidance on how to implement analytical methods in project risk management.The text focuses on engineering design and construction projects and as such is suitable for graduate students in engineering, construction, or project management, as well as practitioners aiming to develop, improve, and/or simplify corporate project management processes. The book places emphasis on building data-driven models for additive-incremental risks, where data can be collected on project sites, assembled from queries of corporate databases, and/or generated using procedures for eliciting experts’ judgments. While the presented models are mathematically inspired, they are nothing beyond what an engineering graduate is expected to know: some algebra, a little calculus, a little statistics, and, especially, undergraduate-level understanding of the probability theory. The book is organized in three parts and fourteen chapters. In Part I theauthors provide the general introduction to risk and uncertainty analysis applied to engineering construction projects.The basic formulations and the methods for risk assessment used during project planning phase are discussed in Part II, while in Part III the authors present the methods for monitoring and (re)assessment of risks during project execution.
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Data Analytics & Visualization All-in-One For Dummies
Install data analytics into your brain with this comprehensive introduction Data Analytics & Visualization All-in-One For Dummies collects the essential information on mining, organizing, and communicating data, all in one place.Clocking in at around 850 pages, this tome of a reference delivers eight books in one, so you can build a solid foundation of knowledge in data wrangling.Data analytics professionals are highly sought after these days, and this book will put you on the path to becoming one.You’ll learn all about sources of data like data lakes, and you’ll discover how to extract data using tools like Microsoft Power BI, organize the data in Microsoft Excel, and visually present the data in a way that makes sense using a Tableau.You’ll even get an intro to the Python, R, and SQL coding needed to take your data skills to a new level.With this Dummies guide, you’ll be well on your way to becoming a priceless data jockey. Mine data from data sourcesOrganize and analyze data Use data to tell a story with TableauExpand your know-how with Python and R New and novice data analysts will love this All-in-One reference on how to make sense of data.Get ready to watch as your career in data takes off.
Price: 37.99 £ | Shipping*: 0.00 £
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What is spatial visualization ability?
Spatial visualization ability refers to the capacity to mentally manipulate and comprehend spatial relationships between objects. Individuals with strong spatial visualization skills can easily visualize and understand how objects relate to each other in space, such as rotating or manipulating shapes in their mind. This ability is crucial in various fields such as engineering, architecture, and mathematics, as it allows individuals to solve complex problems and understand spatial concepts more effectively. Improving spatial visualization ability can enhance problem-solving skills and overall cognitive performance.
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Is spatial visualization important for engineers?
Yes, spatial visualization is important for engineers as it allows them to mentally manipulate and understand complex 3D objects and structures. Engineers often need to design and analyze various components and systems, and spatial visualization skills help them to conceptualize and communicate their ideas effectively. Whether it's designing a new product, creating blueprints for a building, or solving complex problems, spatial visualization is a crucial skill that allows engineers to think critically and innovate in their field.
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Can one improve their spatial visualization skills?
Yes, it is possible to improve spatial visualization skills through practice and training. Engaging in activities such as puzzles, building models, and playing spatial reasoning games can help develop these skills. Additionally, practicing mental rotation exercises and regularly challenging oneself with spatial tasks can also contribute to improvement. With consistent effort and dedication, individuals can enhance their spatial visualization abilities over time.
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What are problems with spatial visualization skills?
Some problems with spatial visualization skills include difficulty in understanding and interpreting maps, graphs, and diagrams. Individuals with poor spatial visualization skills may struggle with tasks such as navigating through unfamiliar environments, understanding 3D objects, and mentally rotating objects. This can impact their performance in subjects such as math, science, and engineering, as well as in everyday activities such as driving and assembling furniture. Additionally, poor spatial visualization skills can lead to frustration and decreased confidence in one's abilities.
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Mastering Project Discovery : Successful Discipline in Engineering and Analytics Projects
Introducing a comprehensive approach to invigorate project leadership, this book provides a framework – the OUtCoMES Cycle – for developing, managing, advancing, and optimizing engineering and analytics projects. All too often, issues of moral hazard and completion bias prevent engineering and analytics managers and team leaders from asking the critical question 'What’s the problem?', before committing time, energy, and resources to solve it.This book draws attention to the definition, structuring, option consideration and ultimately the addressing of the right problems, exploring the OUtCoMES Cycle framework that facilitates and energizes systematic thinking, knowledge sharing, and on-the-fly adjustment with an explicit focus on the maximization of value and ROI.Each chapter includes discussions and lessons in analytical and engineering problem identification, problem structuring, iterative problem development (mental and computational) and problem resolution, at least three embedded real-world case studies, and a closing 'Practitioner’s Recap' to contextualize key chapter takeaways. Written by a team of established academic scholars and practicing analysts and engineers, this is an accessible and culture-shifting action guide for instructors interested in training the next generation of project and analytics leaders, students of analytics and engineering, as well as practicing project leaders and principals.
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Team Analytics : The Future of High-Performance Teams and Project Success
Written by authors who have real-world experience of leading teams and major projects, this book explores a new approach to project success: the continuous process of enabling and empowering teams to reach the optimal levels of performance.For decades, project managers have been asking the multi-million, and sometimes multi-billion-dollar question: why did the project fail?High project failure rates are nothing new and have been well documented, but when project professionals seek answers, they usually return to the original project plan to identify flaws.Yet there is one place where most don't look for the answers: the people.Here is the value gap of the almost untouched area of project team performance management that has the potential to be the next quantum leap in project success.PMO leaders, change executives, HR professionals, project managers, program managers, and portfolio managers – anyone who leads a team in the project world – will learn how to make this critical investment for any organization which wishes to thrive in the ‘new normal’ project-based economy.
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Spatial Analysis with R : Statistics, Visualization, and Computational Methods
In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R.The use and growth of artificial intelligence, machine learning and deep learning algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis.Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes.New in the Second Edition: Includes new practical exercises and worked-out examples using R Presents a wide range of hands-on spatial analysis worktables and lab exercises All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods Explains big data, data management, and data miningThis second edition of an established textbook, with new datasets, insights, excellent illustrations, and numerous examples with R, is perfect for senior undergraduate and first-year graduate students in geography and the geosciences.
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Mapping Society : The Spatial Dimensions of Social Cartography
Price: 25.00 £ | Shipping*: 3.99 £
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What is the function of spatial visualization ability?
Spatial visualization ability allows individuals to mentally manipulate and understand spatial relationships between objects. This ability is crucial in fields such as engineering, architecture, and design, where individuals need to visualize and manipulate complex 3D objects and structures. It also plays a key role in tasks such as navigation, map reading, and understanding geometric concepts. Overall, spatial visualization ability is important for problem-solving, creativity, and understanding the physical world.
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What does it mean if someone lacks spatial visualization skills?
If someone lacks spatial visualization skills, it means that they have difficulty mentally manipulating and understanding spatial relationships between objects and shapes. This can manifest as challenges in tasks such as reading maps, understanding 3D objects, or visualizing how objects fit together in space. People with this difficulty may struggle with activities such as assembling furniture, reading graphs, or understanding geometric concepts. It's important to note that lacking spatial visualization skills does not indicate a lack of intelligence, but rather a specific cognitive challenge in this area.
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What is the difference between a project engineer, a project manager, and a project leader?
A project engineer is typically responsible for the technical aspects of a project, such as design, implementation, and testing. A project manager, on the other hand, oversees the entire project from start to finish, including planning, budgeting, and coordinating resources. A project leader is someone who provides direction, motivation, and guidance to the project team, ensuring that everyone is working towards the common goal and delivering results. In summary, a project engineer focuses on technical aspects, a project manager handles overall project management, and a project leader provides leadership and support to the team.
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What is the project name of the Minecraft project?
The project name of the Minecraft project is "Caves & Cliffs." This project aims to introduce new features and improvements to the game related to caves, cliffs, and the overall terrain generation. It includes new blocks, mobs, and mechanics to enhance the player's experience while exploring underground caves and towering cliffs.
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