Dear Data

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Author :
Publisher : Chronicle Books
ISBN 13 : 1616895462
Total Pages : 304 pages
Book Rating : 4.6/5 (168 download)

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Book Synopsis Dear Data by : Giorgia Lupi

Download or read book Dear Data written by Giorgia Lupi and published by Chronicle Books. This book was released on 2016-09-13 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere.

The Data-Driven Project Manager

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Author :
Publisher : Apress
ISBN 13 : 1484234987
Total Pages : 164 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis The Data-Driven Project Manager by : Mario Vanhoucke

Download or read book The Data-Driven Project Manager written by Mario Vanhoucke and published by Apress. This book was released on 2018-03-27 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover solutions to common obstacles faced by project managers. Written as a business novel, the book is highly interactive, allowing readers to participate and consider options at each stage of a project. The book is based on years of experience, both through the author's research projects as well as his teaching lectures at business schools. The book tells the story of Emily Reed and her colleagues who are in charge of the management of a new tennis stadium project. The CEO of the company, Jacob Mitchell, is planning to install a new data-driven project management methodology as a decision support tool for all upcoming projects. He challenges Emily and her team to start a journey in exploring project data to fight against unexpected project obstacles. Data-driven project management is known in the academic literature as “dynamic scheduling” or “integrated project management and control.” It is a project management methodology to plan, monitor, and control projects in progress in order to deliver them on time and within budget to the client. Its main focus is on the integration of three crucial aspects, as follows: Baseline Scheduling: Plan the project activities to create a project timetable with time and budget restrictions. Determine start and finish times of each project activity within the activity network and resource constraints. Know the expected timing of the work to be done as well as an expected impact on the project’s time and budget objectives. Schedule Risk Analysis: Analyze the risk of the baseline schedule and its impact on the project’s time and budget. Use Monte Carlo simulations to assess the risk of the baseline schedule and to forecast the impact of time and budget deviations on the project objectives. Project Control: Measure and analyze the project’s performance data and take actions to bring the project on track. Monitor deviations from the expected project progress and control performance in order to facilitate the decision-making process in case corrective actions are needed to bring projects back on track. Both traditional Earned Value Management (EVM) and the novel Earned Schedule (ES) methods are used. What You'll Learn Implement a data-driven project management methodology (also known as "dynamic scheduling") which allows project managers to plan, monitor, and control projects while delivering them on time and within budget Study different project management tools and techniques, such as PERT/CPM, schedule risk analysis (SRA), resource buffering, and earned value management (EVM) Understand the three aspects of dynamic scheduling: baseline scheduling, schedule risk analysis, and project control Who This Book Is For Project managers looking to learn data-driven project management (or "dynamic scheduling") via a novel, demonstrating real-time simulations of how project managers can solve common project obstacles

Data Analytics in Project Management

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Author :
Publisher : Taylor & Francis Group/CRC Press
ISBN 13 : 1138307289
Total Pages : 11 pages
Book Rating : 4.1/5 (383 download)

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Book Synopsis Data Analytics in Project Management by : Seweryn Spalek

Download or read book Data Analytics in Project Management written by Seweryn Spalek and published by Taylor & Francis Group/CRC Press. This book was released on 2019-01-01 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analytics in Project Management. Data analytics plays a crucial role in business analytics. Without a rigid approach to analyzing data, there is no way to glean insights from it. Business analytics ensures the expected value of change while that change is implemented by projects in the business environment. Due to the significant increase in the number of projects and the amount of data associated with them, it is crucial to understand the areas in which data analytics can be applied in project management. This book addresses data analytics in relation to key areas, approaches, and methods in project management. It examines: • Risk management • The role of the project management office (PMO) • Planning and resource management • Project portfolio management • Earned value method (EVM) • Big Data • Software support • Data mining • Decision-making • Agile project management Data analytics in project management is of increasing importance and extremely challenging. There is rapid multiplication of data volumes, and, at the same time, the structure of the data is more complex. Digging through exabytes and zettabytes of data is a technological challenge in and of itself. How project management creates value through data analytics is crucial. Data Analytics in Project Management addresses the most common issues of applying data analytics in project management. The book supports theory with numerous examples and case studies and is a resource for academics and practitioners alike. It is a thought-provoking examination of data analytics applications that is valuable for projects today and those in the future.

Project Management Analytics

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Author :
Publisher : FT Press
ISBN 13 : 0134190491
Total Pages : 412 pages
Book Rating : 4.1/5 (341 download)

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Book Synopsis Project Management Analytics by : Harjit Singh

Download or read book Project Management Analytics written by Harjit Singh and published by FT Press. This book was released on 2015-11-12 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: To manage projects, you must not only control schedules and costs: you must also manage growing operational uncertainty. Today’s powerful analytics tools and methods can help you do all of this far more successfully. In Project Management Analytics, Harjit Singh shows how to bring greater evidence-based clarity and rationality to all your key decisions throughout the full project lifecycle. Singh identifies the components and characteristics of a good project decision and shows how to improve decisions by using predictive, prescriptive, statistical, and other methods. You’ll learn how to mitigate risks by identifying meaningful historical patterns and trends; optimize allocation and use of scarce resources within project constraints; automate data-driven decision-making processes based on huge data sets; and effectively handle multiple interrelated decision criteria. Singh also helps you integrate analytics into the project management methods you already use, combining today’s best analytical techniques with proven approaches such as PMI PMBOK® and Lean Six Sigma. Project managers can no longer rely on vague impressions or seat-of-the-pants intuition. Fortunately, you don’t have to. With Project Management Analytics, you can use facts, evidence, and knowledge—and get far better results. Achieve efficient, reliable, consistent, and fact-based project decision-making Systematically bring data and objective analysis to key project decisions Avoid “garbage in, garbage out” Properly collect, store, analyze, and interpret your project-related data Optimize multi-criteria decisions in large group environments Use the Analytic Hierarchy Process (AHP) to improve complex real-world decisions Streamline projects the way you streamline other business processes Leverage data-driven Lean Six Sigma to manage projects more effectively

The Violence Project

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Author :
Publisher : Abrams
ISBN 13 : 1647002273
Total Pages : 189 pages
Book Rating : 4.6/5 (47 download)

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Book Synopsis The Violence Project by : Jillian Peterson

Download or read book The Violence Project written by Jillian Peterson and published by Abrams. This book was released on 2021-09-07 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Groundbreaking." ―Rachel Louise Snyder, bestselling author of No Visible Bruises An examination of the phenomenon of mass shootings in America and an urgent call to implement evidence-based strategies to stop these tragedies Winner of the 2022 Minnesota Book Award Using data from the writers’ groundbreaking research on mass shooters, including first-person accounts from the perpetrators themselves, The Violence Project charts new pathways to prevention and innovative ways to stop the social contagion of violence. Frustrated by reactionary policy conversations that never seemed to convert into meaningful action, special investigator and psychologist Jill Peterson and sociologist James Densley built The Violence Project, the first comprehensive database of mass shooters. Their goal was to establish the root causes of mass shootings and figure out how to stop them by examining hundreds of data points in the life histories of more than 170 mass shooters—from their childhood and adolescence to their mental health and motives. They’ve also interviewed the living perpetrators of mass shootings and people who knew them, shooting survivors, victims’ families, first responders, and leading experts to gain a comprehensive firsthand understanding of the real stories behind them, rather than the sensationalized media narratives that too often prevail. For the first time, instead of offering thoughts and prayers for the victims of these crimes, Peterson and Densley share their data-driven solutions for exactly what we must do, at the individual level, in our communities, and as a country, to put an end to these tragedies that have defined our modern era.

Project Data

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Author :
Publisher :
ISBN 13 :
Total Pages : 1482 pages
Book Rating : 4.3/5 (121 download)

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Book Synopsis Project Data by : United States. Department of the Interior. Water and Power Resources Service

Download or read book Project Data written by United States. Department of the Interior. Water and Power Resources Service and published by . This book was released on 1981 with total page 1482 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Reclamation Project Data

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Author :
Publisher :
ISBN 13 :
Total Pages : 516 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Reclamation Project Data by : United States. Bureau of Reclamation

Download or read book Reclamation Project Data written by United States. Bureau of Reclamation and published by . This book was released on 1949 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Quick-look Guide to the Crustal Dynamics Project's Data Information System

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Author :
Publisher :
ISBN 13 :
Total Pages : 88 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Quick-look Guide to the Crustal Dynamics Project's Data Information System by : Cary E. Noll

Download or read book Quick-look Guide to the Crustal Dynamics Project's Data Information System written by Cary E. Noll and published by . This book was released on 1987 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Quick-look Guide to the Crustal Dynamics Project's Data Information System

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Author :
Publisher :
ISBN 13 :
Total Pages : 88 pages
Book Rating : 4.:/5 (317 download)

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Book Synopsis Quick-look Guide to the Crustal Dynamics Project's Data Information System by : Carey E. Noll

Download or read book Quick-look Guide to the Crustal Dynamics Project's Data Information System written by Carey E. Noll and published by . This book was released on 1987 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: Described are the contents of the Crustal Dynamics Project Data Information System (DIS) and instructions on the use of this facility.

Neighborhood Health Centers: Summary of Project Data

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Publisher :
ISBN 13 :
Total Pages : 632 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Neighborhood Health Centers: Summary of Project Data by : United States. Health Services Administration. Bureau of Community Health Services. Division of Monitoring and Analysis

Download or read book Neighborhood Health Centers: Summary of Project Data written by United States. Health Services Administration. Bureau of Community Health Services. Division of Monitoring and Analysis and published by . This book was released on with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Neighborhood Health Centers: Summary of Project Data. Report

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Author :
Publisher :
ISBN 13 :
Total Pages : 196 pages
Book Rating : 4.3/5 ( download)

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Book Synopsis Neighborhood Health Centers: Summary of Project Data. Report by : United States. Health Services Administration. Bureau of Community Health Services. Division of Monitoring and Analysis

Download or read book Neighborhood Health Centers: Summary of Project Data. Report written by United States. Health Services Administration. Bureau of Community Health Services. Division of Monitoring and Analysis and published by . This book was released on 1975 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Comprehensive Health Services Projects: Summary of Project Data. CHSP Report

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Author :
Publisher :
ISBN 13 :
Total Pages : 548 pages
Book Rating : 4.3/5 ( download)

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Book Synopsis Comprehensive Health Services Projects: Summary of Project Data. CHSP Report by : United States. Health Services Administration. Bureau of Community Health Services

Download or read book Comprehensive Health Services Projects: Summary of Project Data. CHSP Report written by United States. Health Services Administration. Bureau of Community Health Services and published by . This book was released on 1974 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Project Data and Operating Limits

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Author :
Publisher :
ISBN 13 :
Total Pages : 292 pages
Book Rating : 4.3/5 (121 download)

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Book Synopsis Project Data and Operating Limits by :

Download or read book Project Data and Operating Limits written by and published by . This book was released on 1989 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Reclamation Project Data--Supplement [as of June 30. 1964

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Author :
Publisher :
ISBN 13 :
Total Pages : 296 pages
Book Rating : 4.:/5 (2 download)

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Book Synopsis Reclamation Project Data--Supplement [as of June 30. 1964 by : United States. Bureau of Reclamation

Download or read book Reclamation Project Data--Supplement [as of June 30. 1964 written by United States. Bureau of Reclamation and published by . This book was released on 1961 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Agile Data Warehousing Project Management

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Author :
Publisher : Newnes
ISBN 13 : 0123965179
Total Pages : 366 pages
Book Rating : 4.1/5 (239 download)

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Book Synopsis Agile Data Warehousing Project Management by : Ralph Hughes

Download or read book Agile Data Warehousing Project Management written by Ralph Hughes and published by Newnes. This book was released on 2012-12-28 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: You have to make sense of enormous amounts of data, and while the notion of “agile data warehousing might sound tricky, it can yield as much as a 3-to-1 speed advantage while cutting project costs in half. Bring this highly effective technique to your organization with the wisdom of agile data warehousing expert Ralph Hughes. Agile Data Warehousing Project Management will give you a thorough introduction to the method as you would practice it in the project room to build a serious “data mart. Regardless of where you are today, this step-by-step implementation guide will prepare you to join or even lead a team in visualizing, building, and validating a single component to an enterprise data warehouse. Provides a thorough grounding on the mechanics of Scrum as well as practical advice on keeping your team on track Includes strategies for getting accurate and actionable requirements from a team’s business partner Revolutionary estimating techniques that make forecasting labor far more understandable and accurate Demonstrates a blends of Agile methods to simplify team management and synchronize inputs across IT specialties Enables you and your teams to start simple and progress steadily to world-class performance levels

Data Analytics for Engineering and Construction Project Risk Management

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Author :
Publisher : Springer
ISBN 13 : 3030142515
Total Pages : 379 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Data Analytics for Engineering and Construction Project Risk Management by : Ivan Damnjanovic

Download or read book Data Analytics for Engineering and Construction Project Risk Management written by Ivan Damnjanovic and published by Springer. This book was released on 2019-05-23 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 the authors 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.

R for Data Science

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Author :
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis R for Data Science by : Hadley Wickham

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results