Download or read book Data Teams written by Jesse Anderson and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Building Analytics Teams written by John K. Thompson and published by Packt Publishing Ltd. This book was released on 2020-06-30 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Building Data Science Teams written by DJ Patil and published by "O'Reilly Media, Inc.". This book was released on 2011-09-15 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Achievement Teams written by Steve Ventura and published by ASCD. This book was released on 2022-05-27 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: What if you had a collaborative process of looking at student data that could pinpoint student gaps in learning and suggest effective strategies to close those gaps? What if you knew not only what you should start doing to enhance student learning, but also what you should stop doing because it hasn't given you the hoped-for results? Enter Achievement Teams. This is not another program that's here today and gone tomorrow; it's a timeless approach that any school or district can replicate that focuses on the most significant variable in student achievement: teaching. In Achievement Teams, Steve Ventura and Michelle Ventura offer a framework based on John Hattie's Visible Learning research that makes teacher collaboration more efficient, rigorous, satisfying, and effective. Think of it as a systematic treasure hunt for best practices using real data on your students. The authors walk you through the Achievement Teams four-step meeting protocol: * In Step 1, teams focus on the evidence from a pre-assessment to provide specific feedback to students and teachers about concepts and skills that students did and did not learn. * In Step 2, teams use that evidence to establish SMART goals for both teachers and students. * In Step 3, teams summarize the collected data and make inferences around students' mastery levels. * In Step 4, teachers select high-impact strategies directly targeted to student needs. A post-assessment reveals what did and didn't work. The authors provide a plethora of resources along the way, including reflection activities to extend your thinking and a variety of helpful downloadable templates designed to facilitate the work. If you're a teacher or leader who is interested in maximizing student achievement, this book is for you.

Download or read book The Data Teams Experience written by Angela B. Peery and published by Lead and Learn Press. This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Minding the Machines written by Jeremy Adamson and published by John Wiley & Sons. This book was released on 2021-06-25 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Foundations of Data Science written by Avrim Blum and published by Cambridge University Press. This book was released on 2020-01-23 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.

Download or read book Team Topologies written by Matthew Skelton and published by IT Revolution. This book was released on 2019-09-17 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Effective software teams are essential for any organization to deliver value continuously and sustainably. But how do you build the best team organization for your specific goals, culture, and needs? Team Topologies is a practical, step-by-step, adaptive model for organizational design and team interaction based on four fundamental team types and three team interaction patterns. It is a model that treats teams as the fundamental means of delivery, where team structures and communication pathways are able to evolve with technological and organizational maturity. In Team Topologies, IT consultants Matthew Skelton and Manuel Pais share secrets of successful team patterns and interactions to help readers choose and evolve the right team patterns for their organization, making sure to keep the software healthy and optimize value streams. Team Topologies is a major step forward in organizational design for software, presenting a well-defined way for teams to interact and interrelate that helps make the resulting software architecture clearer and more sustainable, turning inter-team problems into valuable signals for the self-steering organization.

Download or read book Data Driven written by Thomas C. Redman and published by Harvard Business Press. This book was released on 2008-09-22 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Your company's data has the potential to add enormous value to every facet of the organization -- from marketing and new product development to strategy to financial management. Yet if your company is like most, it's not using its data to create strategic advantage. Data sits around unused -- or incorrect data fouls up operations and decision making. In Data Driven, Thomas Redman, the "Data Doc," shows how to leverage and deploy data to sharpen your company's competitive edge and enhance its profitability. The author reveals: · The special properties that make data such a powerful asset · The hidden costs of flawed, outdated, or otherwise poor-quality data · How to improve data quality for competitive advantage · Strategies for exploiting your data to make better business decisions · The many ways to bring data to market · Ideas for dealing with political struggles over data and concerns about privacy rights Your company's data is a key business asset, and you need to manage it aggressively and professionally. Whether you're a top executive, an aspiring leader, or a product-line manager, this eye-opening book provides the tools and thinking you need to do that.

Download or read book Data Mesh written by Zhamak Dehghani and published by "O'Reilly Media, Inc.". This book was released on 2022-03-08 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today's organizations. A distributed data mesh is a better choice. Dehghani guides architects, technical leaders, and decision makers on their journey from monolithic big data architecture to a sociotechnical paradigm that draws from modern distributed architecture. A data mesh considers domains as a first-class concern, applies platform thinking to create self-serve data infrastructure, treats data as a product, and introduces a federated and computational model of data governance. This book shows you why and how. Examine the current data landscape from the perspective of business and organizational needs, environmental challenges, and existing architectures Analyze the landscape's underlying characteristics and failure modes Get a complete introduction to data mesh principles and its constituents Learn how to design a data mesh architecture Move beyond a monolithic data lake to a distributed data mesh.

Download or read book Street Data written by Shane Safir and published by Corwin. This book was released on 2021-02-12 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Radically reimagine our ways of being, learning, and doing Education can be transformed if we eradicate our fixation on big data like standardized test scores as the supreme measure of equity and learning. Instead of the focus being on "fixing" and "filling" academic gaps, we must envision and rebuild the system from the student up—with classrooms, schools and systems built around students’ brilliance, cultural wealth, and intellectual potential. Street data reminds us that what is measurable is not the same as what is valuable and that data can be humanizing, liberatory and healing. By breaking down street data fundamentals: what it is, how to gather it, and how it can complement other forms of data to guide a school or district’s equity journey, Safir and Dugan offer an actionable framework for school transformation. Written for educators and policymakers, this book · Offers fresh ideas and innovative tools to apply immediately · Provides an asset-based model to help educators look for what’s right in our students and communities instead of seeking what’s wrong · Explores a different application of data, from its capacity to help us diagnose root causes of inequity, to its potential to transform learning, and its power to reshape adult culture Now is the time to take an antiracist stance, interrogate our assumptions about knowledge, measurement, and what really matters when it comes to educating young people.

Download or read book EMPOWERED written by Marty Cagan and published by John Wiley & Sons. This book was released on 2020-12-03 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Great teams are comprised of ordinary people that are empowered and inspired. They are empowered to solve hard problems in ways their customers love yet work for their business. They are inspired with ideas and techniques for quickly evaluating those ideas to discover solutions that work: they are valuable, usable, feasible and viable. This book is about the idea and reality of "achieving extraordinary results from ordinary people". Empowered is the companion to Inspired. It addresses the other half of the problem of building tech products?how to get the absolute best work from your product teams. However, the book's message applies much more broadly than just to product teams. Inspired was aimed at product managers. Empowered is aimed at all levels of technology-powered organizations: founders and CEO's, leaders of product, technology and design, and the countless product managers, product designers and engineers that comprise the teams. This book will not just inspire companies to empower their employees but will teach them how. This book will help readers achieve the benefits of truly empowered teams"--

Download or read book X Teams written by Deborah Ancona and published by Harvard Business Press. This book was released on 2007-05-17 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Super Founders written by Ali Tamaseb and published by PublicAffairs. This book was released on 2021-05-18 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Super Founders uses a data-driven approach to understand what really differentiates billion-dollar startups from the rest—revealing that nearly everything we thought was true about them is false! Ali Tamaseb has spent thousands of hours manually amassing what may be the largest dataset ever collected on startups, comparing billion-dollar startups with those that failed to become one—30,000 data points on nearly every factor: number of competitors, market size, the founder’s age, his or her university’s ranking, quality of investors, fundraising time, and many, many more. And what he found looked far different than expected. Just to mention a few: Most unicorn founders had no industry experience; There's no disadvantage to being a solo founder or to being a non-technical CEO; Less than 15% went through any kind of accelerator program; Over half had strong competitors when starting--being first to market with an idea does not actually matter. You will also hear the stories of the early days of billion-dollar startups first-hand. The book includes exclusive interviews with the founders/investors of Zoom, Instacart, PayPal, Nest, Github, Flatiron Health, Kite Pharma, Facebook, Stripe, Airbnb, YouTube, LinkedIn, Lyft, DoorDash, Coinbase, and Square, venture capital investors like Elad Gil, Peter Thiel, Alfred Lin from Sequoia Capital and Keith Rabois of Founders Fund, as well as previously untold stories about the early days of ByteDance (TikTok), WhatsApp, Dropbox, Discord, DiDi, Flipkart, Instagram, Careem, Peloton, and SpaceX. Packed with counterintuitive insights and inside stories from people who have built massively successful companies, Super Founders is a paradigm-shifting and actionable guide for entrepreneurs, investors, and anyone interested in what makes a startup successful.

Download or read book Data Wise Revised and Expanded Edition written by Kathryn Parker Boudett and published by Harvard Education Press. This book was released on 2020-08-26 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Wise: A Step-by-Step Guide to Using Assessment Results to Improve Teaching and Learning presents a clear and carefully tested blueprint for school leaders. It shows how examining test scores and other classroom data can become a catalyst for important schoolwide conversations that will enhance schools’ abilities to capture teachers’ knowledge, foster collaboration, identify obstacles to change, and enhance school culture and climate. This revised and expanded edition captures the learning that has emerged in integrating the Data Wise process into school practice and brings the book up-to-date with recent developments in education and technology including: The shift to the Common Core State Standards. New material on the “ACE Habits of Mind”: practices that prioritize Action, Collaboration, and Evidence as part of transforming school culture. A new chapter on “How We Improve,” based on experiences implementing Data Wise and to address two common questions: “Where do I start?” and “How long will it take?” Other revisions take into account changes in the roles of school data teams and instructional leadership teams in guiding the inquiry process. The authors have also updated exhibits, examples, and terminology throughout and have added new protocols and resources.

Download or read book Data Smart written by John W. Foreman and published by John Wiley & Sons. This book was released on 2013-10-31 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.

Download or read book The Data Coach s Guide to Improving Learning for All Students written by Nancy Love and published by Corwin Press. This book was released on 2008-02-27 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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