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EBookClubs

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Book 2013 Data Science Salary Survey

Download or read book 2013 Data Science Salary Survey written by John King and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: What tools do successful data scientists and analysts use, and how much money do they make? We surveyed hundreds of attendees at the O'Reilly Strata Conferences in Santa Clara, California and New York to understand. Findings from the survey include: Average number of tools and median income for all respondents Distribution of responses by age, location, industry, and position Detailed analysis of tools used by respondents and correlation to their salaries - including by tool clusters (Hadoop, SQL/Excel, and other) Correlation of specialized big data tools usage and salary What tools should you be learning and using? Read this valuable report to gain insight from these potentially career-changing findings.

Book 2013 Data Science Salary Survey

Download or read book 2013 Data Science Salary Survey written by John King and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book The 2015 O Reilly Data Science Salary Survey

Download or read book The 2015 O Reilly Data Science Salary Survey written by Roger Magoulas and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "The 2015 O'Reilly Data Science Salary Survey provides insights that could significantly impact your career in data science. The video starts with a longitudinal look at what's common across the surveys O'Reilly's done over the last three years, then moves through the latest results and the process for gathering and analyzing the data. The Survey's research derives from data collected in 2015 through online surveys. It includes demographic information, time spent on various data-related tasks, and the use or non-use of 116 software tools. Data came from over 600 respondents working in a variety of industries, two-thirds of whom are based in the United States."--Resource description page.

Book Data Driven Innovation Big Data for Growth and Well Being

Download or read book Data Driven Innovation Big Data for Growth and Well Being written by OECD and published by OECD Publishing. This book was released on 2015-10-06 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report improves the evidence base on the role of Data Driven Innovation for promoting growth and well-being, and provide policy guidance on how to maximise the benefits of DDI and mitigate the associated economic and societal risks.

Book 2013 Healthcare Salary Survey   Career Guide

Download or read book 2013 Healthcare Salary Survey Career Guide written by AHC Media, LLC and published by AHC Media, LLC. This book was released on 2014-05-12 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, written by healthcare experts in their specific fields, provides the latest 2013 reports, charts, and summaries in such areas as salary levels, average work hours, geographical location and more within the following healthcare areas: Patient Access Professionals, Case Managers, ED Managers, Employee Health Professionals, Infection Preventionists, Surgical Nurses, Nurse Managers, Ambulatory Surgery Managers, Family Planning Clinicians, Risk Managers, and IRBs

Book 2017 Data Science Salary Survey

Download or read book 2017 Data Science Salary Survey written by Brian Suda and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Get a clear picture of the salaries and bonuses data science professionals around the world receive, as well as the tools and cloud providers they use, the tasks they perform, and how interpersonal ("soft") skills might affect their pay. The fifth edition of O'Reilly's online Data Science Salary Survey provides complete results from nearly 800 participants from 69 different countries, 42 different US states, and Washington, DC. With five years of data, the survey's results are consistent enough to reliably identify changes and trends. The survey asked specific questions about industry, team, and company size, but also posed questions such as, "How easy is it to move to another position?" or "What is your next career step?" You can plug in your own data points to the survey model and see how you compare to other data science professionals in your industry. With this report, you'll learn: Where data scientists make the highest salaries-by country and by US state Tools that respondents most commonly use on the job, and tools that contribute most to salary Activities that contribute to higher earnings How gender and bargaining skills affect salaries when all other factors are equal Salary differences between those using open source tools vs those using proprietary tools How the increase in respondents outside of the US signal a rise in international companies starting and growing data organizations Participate in the 2018 Survey: Spend just 5 to 10 minutes and take the anonymous salary survey here: https://www.oreilly.com/ideas/take-the-​data-science-salary-survey .

Book 2016 Data Science Salary Survey

Download or read book 2016 Data Science Salary Survey written by John King and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Transforming Healthcare Analytics

Download or read book Transforming Healthcare Analytics written by Michael N. Lewis and published by John Wiley & Sons. This book was released on 2020-03-24 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-life examples of how to apply intelligence in the healthcare industry through innovative analytics Healthcare analytics offers intelligence for making better healthcare decisions. Identifying patterns and correlations contained in complex health data, analytics has applications in hospital management, patient records, diagnosis, operating and treatment costs, and more. Helping healthcare managers operate more efficiently and effectively. Transforming Healthcare Analytics: The Quest for Healthy Intelligence shares real-world use cases of a healthcare company that leverages people, process, and advanced analytics technology to deliver exemplary results. This book illustrates how healthcare professionals can transform the healthcare industry through analytics. Practical examples of modern techniques and technology show how unified analytics with data management can deliver insight-driven decisions. The authors—a data management and analytics specialist and a healthcare finance executive—share their unique perspectives on modernizing data and analytics platforms to alleviate the complexity of the healthcare, distributing capabilities and analytics to key stakeholders, equipping healthcare organizations with intelligence to prepare for the future, and more. This book: Explores innovative technologies to overcome data complexity in healthcare Highlights how analytics can help with healthcare market analysis to gain competitive advantage Provides strategies for building a strong foundation for healthcare intelligence Examines managing data and analytics from end-to-end, from diagnosis, to treatment, to provider payment Discusses the future of technology and focus areas in the healthcare industry Transforming Healthcare Analytics: The Quest for Healthy Intelligence is an important source of information for CFO’s, CIO, CTO, healthcare managers, data scientists, statisticians, and financial analysts at healthcare institutions.

Book 2015 Data Science Salary Survey

Download or read book 2015 Data Science Salary Survey written by John King and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book 2017 Data Science Salary Survey

Download or read book 2017 Data Science Salary Survey written by Brian Suda and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book 2016 Data Science Salary Survey

Download or read book 2016 Data Science Salary Survey written by John King and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In this fourth edition of O'Reilly's Data Science Salary Survey, 983 respondents working across a variety of industries answered questions about the tools they use, the tasks they engage in, and the salaries they make. This year's survey includes data scientists, engineers, and others in the data space from 45 countries and 45 US states. The 2016 survey included new questions, most notably about specific data-related tasks that may affect salary. Plug in your own data points to the survey model and see how you compare to other data science professionals in your industry. With this report, you'll learn: Where data scientists make the highest salaries-by country and by US state Tools that respondents most commonly use on the job, and tools that contribute most to salary Two activities that contribute to higher earnings among respondents How gender and bargaining skills affect salaries when all other factors are equal Salary differences between those using open source tools vs those using proprietary tools Salary differences between those who rely on Python vs those who use several tools Participate in the 2017 Survey The survey is now open for the 2017 report. Spend just 5 to 10 minutes and take the anonymous salary survey here: https://www.oreilly.com/ideas/take-the-2​017-data-science-salary-survey .

Book Disruptive Analytics

    Book Details:
  • Author : Thomas W. Dinsmore
  • Publisher : Apress
  • Release : 2016-08-27
  • ISBN : 1484213114
  • Pages : 276 pages

Download or read book Disruptive Analytics written by Thomas W. Dinsmore and published by Apress. This book was released on 2016-08-27 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn all you need to know about seven key innovations disrupting business analytics today. These innovations—the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics—are radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain, creating new opportunities. Enterprises who seize the opportunity will thrive and prosper, while others struggle and decline: disrupt or be disrupted. Disruptive Business Analytics provides strategies to profit from disruption. It shows you how to organize for insight, build and provision an open source stack, how to practice lean data warehousing, and how to assimilate disruptive innovations into an organization. Through a short history of business analytics and a detailed survey of products and services, analytics authority Thomas W. Dinsmore provides a practical explanation of the most compelling innovations available today. What You'll Learn Discover how the open source business model works and how to make it work for you See how cloud computing completely changes the economics of analytics Harness the power of Hadoop and its ecosystem Find out why Apache Spark is everywhere Discover the potential of streaming and real-time analytics Learn what Deep Learning can do and why it matters See how self-service analytics can change the way organizations do business Who This Book Is For Corporate actors at all levels of responsibility for analytics: analysts, CIOs, CTOs, strategic decision makers, managers, systems architects, technical marketers, product developers, IT personnel, and consultants.

Book Modern Analytics Methodologies

Download or read book Modern Analytics Methodologies written by Michele Chambers and published by Pearson Education. This book was released on 2015 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many organizations now understand the gap between their current analytical capabilities and where they need to be. Far fewer organizations know how to overcome that gap, monetize analytics, and fully capitalize on Big Data. Modern Analytics Methodologies helps you customize a complete roadmap for implementing analytics that supports your strategy, aligns with your culture, and is unique for your organization. Drawing on work with dozens of leading enterprises, Michele Chambers and Thomas Dinsmore describe high-value applications from many industries, and help you systematically identify and deliver on your company's best opportunities. Writing for both professionals and students, they show how to: Leverage the convergence of macro trends ranging from "flattening" and "green" to Big Data and machine learning Go beyond the Analytics Maturity Model: power your unique business strategy with an equally focused analytics strategy Link key business objectives with core characteristics of your organization, value chain, and stakeholders Take advantage of game changing opportunities before competitors do Effectively integrate the managerial and operational aspects of analytics Measure performance with dashboards, scorecards, visualization, simulation, and more Prioritize and score prospective analytics projects Identify "Quick Wins" you can implement while you're planning for the long-term Build an effective Analytic Program Office to make your roadmap persistent Update and revise your roadmap for new needs and technologies

Book ICT Education

    Book Details:
  • Author : Stefan Gruner
  • Publisher : Springer
  • Release : 2016-10-15
  • ISBN : 3319476807
  • Pages : 199 pages

Download or read book ICT Education written by Stefan Gruner and published by Springer. This book was released on 2016-10-15 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 45th Annual Conference of the Southern African Computer Lecturers' Association on ICT Education, SACLA 2016, held in Cullinan, South Africa, in July 2016. The three revised full papers and 13 work-in-progress papers presented together with two invited keynote papers were carefully reviewed and selected from 30 submissions. The papers are organized in topical sections on assessment methods, instruction methods, new curricula, social skills, and various experiences.

Book Advanced Analytics Methodologies

Download or read book Advanced Analytics Methodologies written by Michele Chambers and published by Pearson Education. This book was released on 2015 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Analytics Methodologies is today's definitive guide to analytics implementation for MBA and university-level business students and sophisticated practitioners. Its expanded, cutting-edge coverage helps readers systematically "jump the gap" between their organization's current analytical capabilities and where they need to be. Step by step, Michele Chambers and Thomas Dinsmore help readers customize a complete roadmap for implementing analytics that supports unique corporate strategies, aligns with specific corporate cultures, and serves unique customer and stakeholder communities. Drawing on work with dozens of leading enterprises, Michele Chambers and Thomas Dinsmore provide advanced applications and examples not available elsewhere, describe high-value applications from many industries, and help you systematically identify and deliver on your company's best opportunities. They show how to: Go beyond the Analytics Maturity Model: power your unique business strategy with an equally focused analytics strategy Link key business objectives with core characteristics of your organization, value chain, and stakeholders Take advantage of game changing opportunities before competitors do Effectively integrate the managerial and operational aspects of analytics Measure performance with dashboards, scorecards, visualization, simulation, and more Prioritize and score prospective analytics projects Identify "Quick Wins" you can implement while you're planning for the long-term Build an effective Analytic Program Office to make your roadmap persistent Update and revise your roadmap for new needs and technologies This advanced text will serve the needs of students and faculty studying cutting-edge analytics techniques, as well as experienced analytics leaders and professionals including Chief Analytics Officers; Chief Data Officers; Chief Scientists; Chief Marketing Officers; Chief Risk Officers; Chief Strategy Officers; VPs of Analytics or Big Data; data scientists; business strategists; and many line-of-business executives.

Book Seeing Cities Through Big Data

Download or read book Seeing Cities Through Big Data written by Piyushimita (Vonu) Thakuriah and published by Springer. This book was released on 2016-10-07 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the latest thinking on the use of Big Data in the context of urban systems, including research and insights on human behavior, urban dynamics, resource use, sustainability and spatial disparities, where it promises improved planning, management and governance in the urban sectors (e.g., transportation, energy, smart cities, crime, housing, urban and regional economies, public health, public engagement, urban governance and political systems), as well as Big Data’s utility in decision-making, and development of indicators to monitor economic and social activity, and for urban sustainability, transparency, livability, social inclusion, place-making, accessibility and resilience.

Book Business Analytics

Download or read book Business Analytics written by Richard Vidgen and published by Bloomsbury Publishing. This book was released on 2019-09-28 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge coverage of new areas of interest including social media analytics, design thinking and the ethical implications of using big data. A wealth of learning features including exercises, cases, online resources and data sets help students to develop analytic problem-solving skills. With its management perspective on analytics and its coverage of a range of popular software tools, this is an ideal essential text for upper-level undergraduate, postgraduate and MBA students. It is also ideal for practitioners wanting to understand the broader organisational context of big data analysis and to engage critically with the tools and techniques of business analytics. Accompanying online resources for this title can be found at bloomsburyonlineresources.com/business-analytics. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.