Data Teams

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Data Teams

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Author : Jesse Anderson
language : en
Publisher:
Release Date : 2020

Data Teams written by Jesse Anderson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.

Building Data Science Teams

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Author : DJ Patil
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2011-09-15

Building Data Science Teams written by DJ Patil 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 2011-09-15 with Computers categories.

As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success. Topics include: What it means to be "data driven." The unique roles of data scientists. The four essential qualities of data scientists. Patil's first-hand experience building the LinkedIn data science team.

Building Analytics Teams

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Author : John K. Thompson
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-06-30

Building Analytics Teams written by John K. Thompson and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-30 with Computers categories.

Master the skills necessary to hire and manage a team of highly skilled individuals to design, build, and implement applications and systems based on advanced analytics and AI Key FeaturesLearn to create an operationally effective advanced analytics team in a corporate environmentSelect and undertake projects that have a high probability of success and deliver the improved top and bottom-line resultsUnderstand how to create relationships with executives, senior managers, peers, and subject matter experts that lead to team collaboration, increased funding, and long-term success for you and your teamBook Description In Building Analytics Teams, John K. Thompson, with his 30+ years of experience and expertise, illustrates the fundamental concepts of building and managing a high-performance analytics team, including what to do, who to hire, projects to undertake, and what to avoid in the journey of building an analytically sound team. The core processes in creating an effective analytics team and the importance of the business decision-making life cycle are explored to help achieve initial and sustainable success. The book demonstrates the various traits of a successful and high-performing analytics team and then delineates the path to achieve this with insights on the mindset, advanced analytics models, and predictions based on data analytics. It also emphasizes the significance of the macro and micro processes required to evolve in response to rapidly changing business needs. The book dives into the methods and practices of managing, developing, and leading an analytics team. Once you've brought the team up to speed, the book explains how to govern executive expectations and select winning projects. By the end of this book, you will have acquired the knowledge to create an effective business analytics team and develop a production environment that delivers ongoing operational improvements for your organization. What you will learnAvoid organizational and technological pitfalls of moving from a defined project to a production environmentEnable team members to focus on higher-value work and tasksBuild Advanced Analytics and Artificial Intelligence (AA&AI) functions in an organizationOutsource certain projects to competent and capable third partiesSupport the operational areas that intend to invest in business intelligence, descriptive statistics, and small-scale predictive analyticsAnalyze the operational area, the processes, the data, and the organizational resistanceWho this book is for This book is for senior executives, senior and junior managers, and those who are working as part of a team that is accountable for designing, building, delivering and ensuring business success through advanced analytics and artificial intelligence systems and applications. At least 5 to 10 years of experience in driving your organization to a higher level of efficiency will be helpful.

The Data Coach S Guide To Improving Learning For All Students

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Author : Nancy Love
language : en
Publisher: Corwin Press
Release Date : 2008-02-27

The Data Coach S Guide To Improving Learning For All Students written by Nancy Love and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-27 with Education categories.

Use data as an effective tool for school change and improvement! This resource helps data team facilitators move schools away from unproductive data practices and toward examining data for systematic and continuous improvement in instruction and learning. The book, which includes a CD-ROM with slides and reproducibles, illustrates how the authors' model has proven successful in: Narrowing achievement gaps in all content areas and grade levels Achieving strong, continuous gains in local and state assessments in mathematics, science, and reading Initiating powerful conversations about race/ethnicity, class, educational status, gender, and language differences Developing a vision for a high-performing, data-informed school culture

Minding The Machines

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Author : Jeremy Adamson
language : en
Publisher: John Wiley & Sons
Release Date : 2021-06-25

Minding The Machines written by Jeremy Adamson 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 2021-06-25 with Computers categories.

Organize, plan, and build an exceptional data analytics team within your organization In Minding the Machines: Building and Leading Data Science and Analytics Teams, AI and analytics strategy expert Jeremy Adamson delivers an accessible and insightful roadmap to structuring and leading a successful analytics team. The book explores the tasks, strategies, methods, and frameworks necessary for an organization beginning their first foray into the analytics space or one that is rebooting its team for the umpteenth time in search of success. In this book, you’ll discover: A focus on the three pillars of strategy, process, and people and their role in the iterative and ongoing effort of building an analytics team Repeated emphasis on three guiding principles followed by successful analytics teams: start early, go slow, and fully commit The importance of creating clear goals and objectives when creating a new analytics unit in an organization Perfect for executives, managers, team leads, and other business leaders tasked with structuring and leading a successful analytics team, Minding the Machines is also an indispensable resource for data scientists and analysts who seek to better understand how their individual efforts fit into their team’s overall results.

The Skillful Inquiry Data Team

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Author : Nancy Love
language : en
Publisher: National Professional Resources Inc./Dude Publishing
Release Date : 2012-01-01

The Skillful Inquiry Data Team written by Nancy Love and has been published by National Professional Resources Inc./Dude Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-01 with Education categories.

Written by school data expert Nancy Love, this guide provides a proven-effective inquiry process and practical tools for grade level (elementary) or subject-area (middle and high school) teams of teachers to maximize their impact on student achievement by: * Building a strong foundation, including shared purpose, collaborative norms, and commitments to rigorous standards add to each student's learning * Identifying a common focus for improvement through analysis of state and local common assessments and student work * Verifying causes of student-learning problems through research, error-analysis, and data about practices and perceptions * Generating solutions by sharing successful teaching strategies and reteaching and extending learning based on students' needs * Ongoing monitoring of the team's impact on instruction and on student learning

Foundations Of Data Science

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Author : Avrim Blum
language : en
Publisher: Cambridge University Press
Release Date : 2020-01-23

Foundations Of Data Science written by Avrim Blum and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-23 with Computers categories.

Covers mathematical and algorithmic foundations of data science: machine learning, high-dimensional geometry, and analysis of large networks.

Data Observability For Data Engineering

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Author : Michele Pinto
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-12-29

Data Observability For Data Engineering written by Michele Pinto and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-29 with Computers categories.

Discover actionable steps to maintain healthy data pipelines to promote data observability within your teams with this essential guide to elevating data engineering practices Key Features Learn how to monitor your data pipelines in a scalable way Apply real-life use cases and projects to gain hands-on experience in implementing data observability Instil trust in your pipelines among data producers and consumers alike Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn the age of information, strategic management of data is critical to organizational success. The constant challenge lies in maintaining data accuracy and preventing data pipelines from breaking. Data Observability for Data Engineering is your definitive guide to implementing data observability successfully in your organization. This book unveils the power of data observability, a fusion of techniques and methods that allow you to monitor and validate the health of your data. You’ll see how it builds on data quality monitoring and understand its significance from the data engineering perspective. Once you're familiar with the techniques and elements of data observability, you'll get hands-on with a practical Python project to reinforce what you've learned. Toward the end of the book, you’ll apply your expertise to explore diverse use cases and experiment with projects to seamlessly implement data observability in your organization. Equipped with the mastery of data observability intricacies, you’ll be able to make your organization future-ready and resilient and never worry about the quality of your data pipelines again.What you will learn Implement a data observability approach to enhance the quality of data pipelines Collect and analyze key metrics through coding examples Apply monkey patching in a Python module Manage the costs and risks associated with your data pipeline Understand the main techniques for collecting observability metrics Implement monitoring techniques for analytics pipelines in production Build and maintain a statistics engine continuously Who this book is for This book is for data engineers, data architects, data analysts, and data scientists who have encountered issues with broken data pipelines or dashboards. Organizations seeking to adopt data observability practices and managers responsible for data quality and processes will find this book especially useful to increase the confidence of data consumers and raise awareness among producers regarding their data pipelines.

Rti Team Building

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Author : Kelly Broxterman
language : en
Publisher: Guilford Press
Release Date : 2013-01-16

Rti Team Building written by Kelly Broxterman and has been published by Guilford Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-16 with Psychology categories.

School teams play an essential role in the successful implementation of response to intervention (RTI). This user-friendly book offers a roadmap for creating effective RTI teams and overcoming common pitfalls. The authors discuss the nuts and bolts of planning and facilitating meetings during which data-based decisions are made about screening, interventions, and progress monitoring for individual students (K-6) or the whole school. Ways to develop sustainable team practices and strengthen collaboration are described. In a large-size format for easy photocopying, the book includes more than two dozen reproducible planning forms and other handy tools. Purchasers also get access to a Web page where they can download and print the reproducible materials. This book is in The Guilford Practical Intervention in the Schools Series, edited by Sandra M. Chafouleas.

Data Dynamics

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Author : Edie L. Holcombe
language : en
Publisher: Solution Tree Press
Release Date : 2011-10-27

Data Dynamics written by Edie L. Holcombe and has been published by Solution Tree Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-27 with Education categories.

How is your school data performing for you? Examine the ways your school can better use student achievement data, nonacademic student data, staff data, and parent/community data to identify areas for improvement. This book will help administrators and leaders with school improvement planning and implementation, and teachers will find that good data can be used to plan instruction and monitor and motivate students.