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Author : Gerardus Blokdyk
Publisher :
Page : 0 pages
File Size : 39,5 MB
Release : 2019
Category : Electronic books
ISBN : 9780655894520
Data Science Team A Complete Guide - 2019 Edition.
Author : Gerardus Blokdyk
Publisher : 5starcooks
Page : 304 pages
File Size : 39,31 MB
Release : 2019-08-07
Category :
ISBN : 9780655844532
Do data science teams have standardized and repeatable processes for executing analytical workflows that are documented and shared across teams? What should the next improvement project be that is related to data science team? Do you think data science team accomplishes the goals you expect it to accomplish? Risk Identification: What are the possible risk events your organization faces in relation to data science team? How do you manage data science team Knowledge Management (KM)? This valuable Data Science Team self-assessment will make you the entrusted Data Science Team domain auditor by revealing just what you need to know to be fluent and ready for any Data Science Team challenge. How do I reduce the effort in the Data Science Team work to be done to get problems solved? How can I ensure that plans of action include every Data Science Team task and that every Data Science Team outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Science Team costs are low? How can I deliver tailored Data Science Team advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data Science Team essentials are covered, from every angle: the Data Science Team self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Science Team outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Science Team practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data Science Team are maximized with professional results. Your purchase includes access details to the Data Science Team self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data Science Team Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Author : Gerardus Blokdyk
Publisher :
Page : 0 pages
File Size : 31,1 MB
Release :
Category :
ISBN : 9780655896326
Author : John W. Foreman
Publisher : John Wiley & Sons
Page : 432 pages
File Size : 28,44 MB
Release : 2013-10-31
Category : Business & Economics
ISBN : 1118839862
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.
Author : Gerardus Blokdyk
Publisher : 5starcooks
Page : 304 pages
File Size : 39,82 MB
Release : 2019-08-10
Category :
ISBN : 9780655846338
Does Data Science Teams create potential expectations in other areas that need to be recognized and considered? What are the performance and scale of the Data Science Teams tools? Are the Data Science Teams requirements testable? Risk Identification: What are the possible risk events your organization faces in relation to Data Science Teams? How does Data Science Teams integrate with other stakeholder initiatives? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Data Science Teams investments work better. This Data Science Teams All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Data Science Teams Self-Assessment. Featuring 945 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Data Science Teams improvements can be made. In using the questions you will be better able to: - diagnose Data Science Teams projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Data Science Teams and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Data Science Teams Scorecard, you will develop a clear picture of which Data Science Teams areas need attention. Your purchase includes access details to the Data Science Teams self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data Science Teams Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Author : Gerardus Blokdyk
Publisher : 5starcooks
Page : 310 pages
File Size : 39,9 MB
Release : 2019-06-18
Category :
ISBN : 9780655547969
What are some software and skills that every Data Scientist should know? Does staff have access to a wide range of open source tools, libraries, and languages to tackle analytical projects? Do you have a moral role as data scientist? How do you find data scientists? Are your data scientists evaluated against clear and defined individual and team-based performance metrics? This best-selling Data Scientist self-assessment will make you the accepted Data Scientist domain standout by revealing just what you need to know to be fluent and ready for any Data Scientist challenge. How do I reduce the effort in the Data Scientist work to be done to get problems solved? How can I ensure that plans of action include every Data Scientist task and that every Data Scientist outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Scientist costs are low? How can I deliver tailored Data Scientist advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data Scientist essentials are covered, from every angle: the Data Scientist self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Scientist outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Scientist practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data Scientist are maximized with professional results. Your purchase includes access details to the Data Scientist self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data Scientist Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Author : Howard Steven Friedman
Publisher : Columbia University Press
Page : 271 pages
File Size : 39,14 MB
Release : 2024-01-30
Category : Computers
ISBN : 0231556691
Whether you are a newly minted MBA or a project manager at a Fortune 500 company, data science will play a major role in your career. Knowing how to communicate effectively with data scientists in order to obtain maximum value from their expertise is essential. This book is a compelling and comprehensive guide to data science, emphasizing its real-world business applications and focusing on how to collaborate productively with data science teams. Taking an engaging narrative approach, Winning with Data Science covers the fundamental concepts without getting bogged down in complex equations or programming languages. It provides clear explanations of key terms, tools, and techniques, illustrated through practical examples. The book follows the stories of Kamala and Steve, two professionals who need to collaborate with data science teams to achieve their business goals. Howard Steven Friedman and Akshay Swaminathan walk readers through each step of managing a data science project, from understanding the different roles on a data science team to identifying the right software. They equip readers with critical questions to ask data analysts, statisticians, data scientists, and other technical experts to avoid wasting time and money. Winning with Data Science is a must-read for anyone who works with data science teams or is interested in the practical side of the subject.
Author : Gerardus Blokdyk
Publisher : 5starcooks
Page : 304 pages
File Size : 22,14 MB
Release : 2019-07-14
Category :
ISBN : 9780655823551
How do you catch analytics team definition inconsistencies? Why is analytics team important for you now? Which analytics team data should be retained? What are the usability implications of analytics team actions? What are the concrete analytics team results? This easy Analytics Team self-assessment will make you the credible Analytics Team domain assessor by revealing just what you need to know to be fluent and ready for any Analytics Team challenge. How do I reduce the effort in the Analytics Team work to be done to get problems solved? How can I ensure that plans of action include every Analytics Team task and that every Analytics Team outcome is in place? How will I save time investigating strategic and tactical options and ensuring Analytics Team costs are low? How can I deliver tailored Analytics Team advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Analytics Team essentials are covered, from every angle: the Analytics Team self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Analytics Team outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Analytics Team practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Analytics Team are maximized with professional results. Your purchase includes access details to the Analytics Team self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Analytics Team Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Author : Ron S. Kenett
Publisher : John Wiley & Sons
Page : 142 pages
File Size : 27,84 MB
Release : 2019-04-01
Category : Science
ISBN : 111957076X
The essential guide for data scientists and for leaders who must get more from their data science teams The Economist boldly claims that data are now "the world's most valuable resource." But, as Kenett and Redman so richly describe, unlocking that value requires far more than technical excellence. The Real Work of Data Science explores understanding the problems, dealing with quality issues, building trust with decision makers, putting data science teams in the right organizational spots, and helping companies become data-driven. This is the work that spells the difference between a good data scientist and a great one, between a team that makes marginal contributions and one that drives the business, between a company that gains some value from its data and one in which data truly is "the most valuable resource." "These two authors are world-class experts on analytics, data management, and data quality; they've forgotten more about these topics than most of us will ever know. Their book is pragmatic, understandable, and focused on what really counts. If you want to do data science in any capacity, you need to read it." —Thomas H. Davenport, Distinguished Professor, Babson College and Fellow, MIT Initiative on the Digital Economy "I like your book. The chapters address problems that have faced statisticians for generations, updated to reflect today's issues, such as computational Big Data." —Sir David Cox, Warden of Nuffield College and Professor of Statistics, Oxford University "Data science is critical for competitiveness, for good government, for correct decisions. But what is data science? Kenett and Redman give, by far, the best introduction to the subject I have seen anywhere. They address the critical questions of formulating the right problem, collecting the right data, doing the right analyses, making the right decisions, and measuring the actual impact of the decisions. This book should become required reading in statistics and computer science departments, business schools, analytics institutes and, most importantly, by all business managers." —A. Blanton Godfrey, Joseph D. Moore Distinguished University Professor, Wilson College of Textiles, North Carolina State University
Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
Page : 521 pages
File Size : 35,50 MB
Release : 2016-12-12
Category : Computers
ISBN : 1491910364
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