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Project Data Summaries
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Book Synopsis Project Data Summaries by : Systems Consultants, inc
Download or read book Project Data Summaries written by Systems Consultants, inc and published by . This book was released on 1976 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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
Author :New York (N.Y.). Employment, Department of. Manpower Career Development Agency Publisher : ISBN 13 : Total Pages : pages Book Rating :4.:/5 (122 download)
Book Synopsis Project Data Summaries by : New York (N.Y.). Employment, Department of. Manpower Career Development Agency
Download or read book Project Data Summaries written by New York (N.Y.). Employment, Department of. Manpower Career Development Agency and published by . This book was released on 1978 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :United States. Health Services Administration. Bureau of Community Health Services. Division of Monitoring and Analysis Publisher : ISBN 13 : Total Pages :196 pages Book Rating :4.3/5 ( download)
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:
Book Synopsis Data Analysis for Business, Economics, and Policy by : Gábor Békés
Download or read book Data Analysis for Business, Economics, and Policy written by Gábor Békés and published by Cambridge University Press. This book was released on 2021-05-06 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.
Author :United States. Health Services Administration. Bureau of Community Health Services Publisher : ISBN 13 : Total Pages :180 pages Book Rating :4.3/5 (91 download)
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 1975 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Development Research in Practice by : Kristoffer Bjärkefur
Download or read book Development Research in Practice written by Kristoffer Bjärkefur and published by World Bank Publications. This book was released on 2021-07-16 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Development Research in Practice leads the reader through a complete empirical research project, providing links to continuously updated resources on the DIME Wiki as well as illustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically. “In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, comprehensive, yet easy-to-read manual for how to manage a data-oriented research project from beginning to end. It offers everything from big-picture guidance on the determinants of high-quality empirical research, to specific practical guidance on how to implement specific workflows—and includes computer code! I think it will prove durably useful to a broad range of researchers in international development and beyond, and I learned new practices that I plan on adopting in my own research group.†? —Marshall Burke, Associate Professor, Department of Earth System Science, and Deputy Director, Center on Food Security and the Environment, Stanford University “Data are the essential ingredient in any research or evaluation project, yet there has been too little attention to standardized practices to ensure high-quality data collection, handling, documentation, and exchange. Development Research in Practice: The DIME Analytics Data Handbook seeks to fill that gap with practical guidance and tools, grounded in ethics and efficiency, for data management at every stage in a research project. This excellent resource sets a new standard for the field and is an essential reference for all empirical researchers.†? —Ruth E. Levine, PhD, CEO, IDinsight “Development Research in Practice: The DIME Analytics Data Handbook is an important resource and a must-read for all development economists, empirical social scientists, and public policy analysts. Based on decades of pioneering work at the World Bank on data collection, measurement, and analysis, the handbook provides valuable tools to allow research teams to more efficiently and transparently manage their work flows—yielding more credible analytical conclusions as a result.†? —Edward Miguel, Oxfam Professor in Environmental and Resource Economics and Faculty Director of the Center for Effective Global Action, University of California, Berkeley “The DIME Analytics Data Handbook is a must-read for any data-driven researcher looking to create credible research outcomes and policy advice. By meticulously describing detailed steps, from project planning via ethical and responsible code and data practices to the publication of research papers and associated replication packages, the DIME handbook makes the complexities of transparent and credible research easier.†? —Lars Vilhuber, Data Editor, American Economic Association, and Executive Director, Labor Dynamics Institute, Cornell University
Download or read book Project Data Summaries written by ERDA. and published by . This book was released on 1979 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Crop Summary and Related Data, Federal Reclamation Projects by :
Download or read book Crop Summary and Related Data, Federal Reclamation Projects written by and published by . This book was released on 1952 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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
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.
Author :United States. National Air Pollution Control Administration. Division of Air Quality and Emission Data Publisher : ISBN 13 : Total Pages :112 pages Book Rating :4.3/5 (91 download)
Book Synopsis Data Tabulations and Summaries, Continuous Air Monitoring Projects, National Air Surveillance Networks by : United States. National Air Pollution Control Administration. Division of Air Quality and Emission Data
Download or read book Data Tabulations and Summaries, Continuous Air Monitoring Projects, National Air Surveillance Networks written by United States. National Air Pollution Control Administration. Division of Air Quality and Emission Data and published by . This book was released on 1967 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis 1967 Data Tabulations and Summaries Continuous Air Monitoring Projects National Air Surveillance Networks, Washington, D.C. by :
Download or read book 1967 Data Tabulations and Summaries Continuous Air Monitoring Projects National Air Surveillance Networks, Washington, D.C. written by and published by . This book was released on 1969 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :United States. Health Services Administration. Bureau of Community Health Services. Division of Monitoring and Analysis Publisher : ISBN 13 : Total Pages :632 pages Book Rating :4.F/5 ( download)
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:
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.
Book Synopsis Data Analysis for the Life Sciences with R by : Rafael A. Irizarry
Download or read book Data Analysis for the Life Sciences with R written by Rafael A. Irizarry and published by CRC Press. This book was released on 2016-10-04 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.
Book Synopsis Crustal Dynamics Project Data Analysis--1991 by : C. Ma
Download or read book Crustal Dynamics Project Data Analysis--1991 written by C. Ma and published by . This book was released on 1992 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: