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.
The Data Teamtm Procedure A Systematic Approach To School Improvement
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Author : Kim Schildkamp
language : en
Publisher: Springer
Release Date : 2017-07-11
The Data Teamtm Procedure A Systematic Approach To School Improvement written by Kim Schildkamp and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-11 with Education categories.
This book describes the Data Team Procedure: a method for data-based decision making that can help schools to improve their quality. It involves the use of teams consisting of 4-6 teachers, 1-2 school leaders and a data expert. The members of the team collaboratively learn how to use data to solve an educational problem within the school, adopting a systematic approach. The data team procedure is an iterative and cyclic procedure consisting of eight steps. The data team members are trained in the data team procedure by a coach. The coach visits the data team’s school regularly for a meeting and facilitates working according to the systematic procedure. Teams participate in data analysis workshops for more specific support. Divided into three parts, the book first describes the importance of data use and the data team procedure. Next, it describes two cases. The first case concerns a data team working on a school level problem: Reducing grade repetition. The second case concerns a data team working on a classroom level problem: low student achievement in English language. The last part of the book explains what it means to implement the data team procedure in the school, the conditions needed for implementing the data team procedure, and the factors that may hinder or support the use of data in data teams.
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
Data Teams
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Author : Elle Allison
language : en
Publisher: Advanced Learning Press
Release Date : 2010
Data Teams written by Elle Allison and has been published by Advanced Learning Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Educational tests and measurements categories.
A Data Team is an organized group of teachers and administrators that monitors data, analyzes strengths and obstacles, establishes goals, selects instructional strategies, and evaluates results for individual students. Data Teams are the polar opposite of the old system that was euphemistically called, Wait to Fail where teachers took little or no action until the student failed. This is an anthology covering the major subsets of Data Team functions written by experts in those subsets.
Data Teams Success Stories
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Author : Kristin L. Anderson
language : en
Publisher: Lead and Learn Press
Release Date : 2011-04
Data Teams Success Stories written by Kristin L. Anderson and has been published by Lead and Learn Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04 with Education categories.
An anthology of case studies of eight different schools and school systems that have implemented successful Data Teams. A Data Team is a group of teachers who collects and charts data from assessments of students, analyzes both strengths of and obstacles facing a student, establishes goals, selects instructional strategies and determines result indicators for individual students. These case studies review the school's plan, their mid-course corrections and their successes.
The Data Teams Experience
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Author : Angela B. Peery
language : en
Publisher: Lead and Learn Press
Release Date : 2011
The Data Teams Experience written by Angela B. Peery and has been published by Lead and Learn Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Education categories.
An instructional Data Team is a small group based on grade, department, or course that examines student's test. These tests are focus on prioritized standards or learning goals that are aligned with Common Core State Standards. The student's work is analyzed to gain a picture of how the student is doing. Then the Data Team selects instructional strategies to address the student's learning challenges. This is a how-to for those meetings.
What Does Your School Data Team Sound Like
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Author : Dean T. Spaulding
language : en
Publisher: Corwin Press
Release Date : 2018-07-04
What Does Your School Data Team Sound Like written by Dean T. Spaulding and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-04 with Education categories.
Inspire the data discussion! Data is a valuable resource for improving education. Unfortunately, many school data teams struggle to make sense of new and often overwhelming data. What Does Your Data Team Sound Like? provides an approach that gets teams talking about and applying data effectively in a variety of setting and scenarios. Written to help data teams navigate the confusing world of data analysis for on-going school improvement, this book offers a framework that is rigorous yet easy to follow. Readers will find: Easy, step-by-step discussion & analysis techniques Case studies that demonstrate different approaches Checklists and flowcharts to help visual the process
Data Science
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Author : Doug Rose
language : en
Publisher: Apress
Release Date : 2016-11-17
Data Science written by Doug Rose and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-17 with Computers categories.
Learn how to build a data science team within your organization rather than hiring from the outside. Teach your team to ask the right questions to gain actionable insights into your business. Most organizations still focus on objectives and deliverables. Instead, a data science team is exploratory. They use the scientific method to ask interesting questions and run small experiments. Your team needs to see if the data illuminate their questions. Then, they have to use critical thinking techniques to justify their insights and reasoning. They should pivot their efforts to keep their insights aligned with business value. Finally, your team needs to deliver these insights as a compelling story. Insight!: How to Build Data Science Teams that Deliver Real Business Value shows that the most important thing you can do now is help your team think about data. Management coach Doug Rose walks you through the process of creating and managing effective data science teams. You will learn how to find the right people inside your organization and equip them with the right mindset. The book has three overarching concepts: You should mine your own company for talent. You can’t change your organization by hiring a few data science superheroes. You should form small, agile-like data teams that focus on delivering valuable insights early and often. You can make real changes to your organization by telling compelling data stories. These stories are the best way to communicate your insights about your customers, challenges, and industry. What Your Will Learn: Create data science teams from existing talent in your organization to cost-efficiently extract maximum business value from your organization’s data Understand key data science terms and concepts Follow practical guidance to create and integrate an effective data science team with key roles and the responsibilities for each team member Utilize the data science life cycle (DSLC) to model essential processes and practices for delivering value Use sprints and storytelling to help your team stay on track and adapt to new knowledge Who This Book Is For Data science project managers and team leaders. The secondary readership is data scientists, DBAs, analysts, senior management, HR managers, and performance specialists.