The Data Teams Experience

The Data Teams Experience PDF Author: Angela B. Peery
Publisher: Lead and Learn Press
ISBN: 9781935588023
Category : Education
Languages : en
Pages : 0

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Book Description
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.

The Data Teams Experience

The Data Teams Experience PDF Author: Angela B. Peery
Publisher: Lead and Learn Press
ISBN: 9781935588023
Category : Education
Languages : en
Pages : 0

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Book Description
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.

Data Teams

Data Teams PDF Author: Jesse Anderson
Publisher:
ISBN: 9781484262290
Category :
Languages : en
Pages :

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Book Description


Building Analytics Teams

Building Analytics Teams PDF Author: John K. Thompson
Publisher: Packt Publishing Ltd
ISBN: 180020518X
Category : Computers
Languages : en
Pages : 395

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Book Description
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.

Building Data Science Teams

Building Data Science Teams PDF Author: DJ Patil
Publisher: "O'Reilly Media, Inc."
ISBN: 1449316778
Category : Computers
Languages : en
Pages : 14

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Book Description
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.

Data Work

Data Work PDF Author: Taylor Rodgers
Publisher:
ISBN: 9781098398620
Category :
Languages : en
Pages :

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Book Description


Designing with Data

Designing with Data PDF Author: Rochelle King
Publisher: "O'Reilly Media, Inc."
ISBN: 1449334954
Category : Computers
Languages : en
Pages : 370

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Book Description
On the surface, design practices and data science may not seem like obvious partners. But these disciplines actually work toward the same goal, helping designers and product managers understand users so they can craft elegant digital experiences. While data can enhance design, design can bring deeper meaning to data. This practical guide shows you how to conduct data-driven A/B testing for making design decisions on everything from small tweaks to large-scale UX concepts. Complete with real-world examples, this book shows you how to make data-driven design part of your product design workflow. Understand the relationship between data, business, and design Get a firm grounding in data, data types, and components of A/B testing Use an experimentation framework to define opportunities, formulate hypotheses, and test different options Create hypotheses that connect to key metrics and business goals Design proposed solutions for hypotheses that are most promising Interpret the results of an A/B test and determine your next move

The Digital Seeker

The Digital Seeker PDF Author: Raj K. De Datta
Publisher: Columbia University Press
ISBN: 0231554443
Category : Business & Economics
Languages : en
Pages : 254

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Book Description
A WALL STREET JOURNAL BUSINESS BESTSELLER The internet was supposed to connect us to endless possibilities. So why do we keep ending up browsing the same old sites and best-seller lists? When sellers don’t offer potential customers a compelling digital experience, consumers miss out on great products—and businesses miss a vital opportunity to grow. Raj K. De Datta, the founder of a company that powers digital-commerce experiences for many of the world’s biggest brands, offers an actionable playbook for companies looking to deliver better digital experiences. His key insight is that exceptional digital experiences are much more than marketplaces. They don’t just serve customers’ transactional needs but rather address the deeper problems for which they seek solutions. They are built on a digital-experience platform that provides agile, personalized, scalable performance. And they are created by product-centric digital teams, not traditional organizations. The Digital Seeker distills key lessons from the compelling stories of innovative businesses: not just tech companies but companies spanning a wide range of industries, including amusement parks, fashion, sports, health care, distribution, and the public sector. De Datta defines and explains the power of the seeker-centric philosophy—translating it into a core operational playbook for digital teams to achieve transformative results. Importantly, this book also offers crucial insights into the impact of the COVID-19 pandemic on our digital lives and the long-term effects it will have on digital experiences of the future.

Project Retrospectives

Project Retrospectives PDF Author: Norman L. Kerth
Publisher: Addison-Wesley
ISBN: 0133488748
Category : Computers
Languages : en
Pages : 339

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Book Description
This is the digital copy of the printed booik (Copyright © 2001). With detailed scenarios, imaginative illustrations, and step-by-step instructions, consultant and speaker Norman L. Kerth guides readers through productive, empowering retrospectives of project performance. Whether your shop calls them postmortems or postpartums or something else, project retrospectives offer organizations a formal method for preserving the valuable lessons learned from the successes and failures of every project. These lessons and the changes identified by the community will foster stronger teams and savings on subsequent efforts. For a retrospective to be effective and successful, though, it needs to be safe. Kerth shows facilitators and participants how to defeat the fear of retribution and establish an air of mutual trust. One tool is Kerth's Prime Directive: Regardless of what we discover, we must understand and truly believe that everyone did the best job he or she could, given what was known at the time, his or her skills and abilities, the resources available, and the situation at hand. Applying years of experience as a project retrospective facilitator for software organizations, Kerth reveals his secrets for managing the sensitive, often emotionally charged issues that arise as teams relive and learn from each project.

The Data Coach's Guide to Improving Learning for All Students

The Data Coach's Guide to Improving Learning for All Students PDF Author: Nancy Love
Publisher: Corwin Press
ISBN: 1412950015
Category : Education
Languages : en
Pages : 409

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Book Description
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

X-Teams

X-Teams PDF Author: Deborah Ancona
Publisher: Harvard Business Press
ISBN: 1422148068
Category : Business & Economics
Languages : en
Pages : 273

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Book Description
Why do good teams fail? Very often, argue Deborah Ancona and Henrik Bresman, it is because they are looking inward instead of outward. Based on years of research examining teams across many industries, Ancona and Bresman show that traditional team models are falling short, and that what’s needed--and what works--is a new brand of team that emphasizes external outreach to stakeholders, extensive ties, expandable tiers, and flexible membership. The authors highlight that X-teams not only are able to adapt in ways that traditional teams aren’t, but that they actually improve an organization’s ability to produce creative ideas and execute them—increasing the entrepreneurial and innovative capacity within the firm. What’s more, the new environment demands what the authors call “distributed leadership,” and the book highlights how X-teams powerfully embody this idea.