Building Your Career As A Statistician

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Building Your Career as a Statistician

Author : Craig Mallinckrodt
Publisher : CRC Press
ISBN 13 : 1000918629
Total Pages : 208 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Building Your Career as a Statistician by : Craig Mallinckrodt

Download or read book Building Your Career as a Statistician written by Craig Mallinckrodt and published by CRC Press. This book was released on 2023-08-01 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for anyone who is considering a career in statistics or a related field, or those at any point in their career with sufficient work time remaining such that investing in additional learning could be beneficial. As such, the book would be suitable for anyone pursing an MS or PhD in statistics or those already working in statistics. The book focuses on the non-statistical aspects of being a statistician that are crucial for success. These factors include 1) productivity and prioritization, 2) innovation and creativity, 3) communication, 4) critical thinking and decisions under uncertainty, 5) influence and leadership, 6) working relationships, and 7) career planning and continued learning. Each of these chapters includes sections on foundational principles and a section on putting those principles into practice. Connections between these individual skills are emphasized such that the reader can appreciate how the skills build upon each other leading to a whole that is greater than the sum of its parts. By including the individual perspectives from other experts on the fundamental principles and their application, readers will have a well-rounded view on how to build upon and fully leverage their technical skills in statistics. The primary audience for the book is large and diverse. It will be useful for self-study by virtually any statistician, but could also be used as a text in a graduate program that includes a course on careers and career development. Key Features: Takes principles proven to be useful in other settings and applies them to statisticians and statistical settings. Focused Concise Accessible to all levels, from grad students to mid-later career statisticians.

A Career in Statistics

Author : Gerald J. Hahn
Publisher : John Wiley & Sons
ISBN 13 : 1118490134
Total Pages : 358 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis A Career in Statistics by : Gerald J. Hahn

Download or read book A Career in Statistics written by Gerald J. Hahn and published by John Wiley & Sons. This book was released on 2012-08-29 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: A valuable guide to a successful career as a statistician A Career in Statistics: Beyond the Numbers prepares readers for careers in statistics by emphasizing essential concepts and practices beyond the technical tools provided in standard courses and texts. This insider's guide from internationally recognized applied statisticians helps readers decide whether a career in statistics is right for them, provides hands-on guidance on how to prepare for such a career, and shows how to succeed on the job. The book provides non-technical guidance for a successful career. The authors' extensive industrial experience is supplemented by insights from contributing authors from government and academia, Carol Joyce Blumberg, Leonard M. Gaines, Lynne B. Hare, William Q. Meeker, and Josef Schmee. Following an introductory chapter that provides an overview of the field, the authors discuss the various dimensions of a career in applied statistics in three succinct parts: The Work of a Statistician describes the day-to-day activities of applied statisticians in business and industry, official government, and various other application areas, highlighting the work environment and major on-the-job challenges Preparing for a Successful Career in Statistics describes the personal traits that characterize successful statisticians, the education that they need to acquire, and approaches for securing the right job Building a Successful Career as a Statistician offers practical guidance for addressing key challenges that statisticians face on the job, such as project initiation and execution, effective communication, publicizing successes, ethical considerations, and gathering good data; alternative career paths are also described The book concludes with an in-depth examination of careers for statisticians in academia as well as tips to help them stay on top of their field throughout their careers. Each chapter includes thought-provoking discussion questions and a Major Takeaways section that outlines key concepts. Real-world examples illustrate key points, and an FTP site provides additional information on selected topics. A Career in Statistics is an invaluable guide for individuals who are considering or have decided on a career in statistics as well as for statisticians already on the job who want to accelerate their path to success. It also serves as a suitable book for courses on statistical consulting, statistical practice, and statistics in the workplace at the undergraduate and graduate levels.

Occupational Outlook Handbook

Author : United States. Bureau of Labor Statistics
Publisher :
ISBN 13 :
Total Pages : 740 pages
Book Rating : 4.3/5 ( download)

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Book Synopsis Occupational Outlook Handbook by : United States. Bureau of Labor Statistics

Download or read book Occupational Outlook Handbook written by United States. Bureau of Labor Statistics and published by . This book was released on 1957 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning

Author : Kevin P. Murphy
Publisher : MIT Press
ISBN 13 : 0262018020
Total Pages : 1102 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Machine Learning by : Kevin P. Murphy

Download or read book Machine Learning written by Kevin P. Murphy and published by MIT Press. This book was released on 2012-08-24 with total page 1102 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

The Career of a Research Statistician

Author : Shelemyahu Zacks
Publisher : Springer Nature
ISBN 13 : 3030394344
Total Pages : 217 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis The Career of a Research Statistician by : Shelemyahu Zacks

Download or read book The Career of a Research Statistician written by Shelemyahu Zacks and published by Springer Nature. This book was released on 2020-03-13 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph highlights the connection between the theoretical work done by research statisticians and the impact that work has on various industries. Drawing on decades of experience as an industry consultant, the author details how his contributions have had a lasting impact on the field of statistics as a whole. Aspiring statisticians and data scientists will be motivated to find practical applications for their knowledge, as they see how such work can yield breakthroughs in their field. Each chapter highlights a consulting position the author held that resulted in a significant contribution to statistical theory. Topics covered include tracking processes with change points, estimating common parameters, crossing fields with absorption points, military operations research, sampling surveys, stochastic visibility in random fields, reliability analysis, applied probability, and more. Notable advancements within each of these topics are presented by analyzing the problems facing various industries, and how solving those problems contributed to the development of the field. The Career of a Research Statistician is ideal for researchers, graduate students, or industry professionals working in statistics. It will be particularly useful for up-and-coming statisticians interested in the promising connection between academia and industry.

Naked Statistics: Stripping the Dread from the Data

Author : Charles Wheelan
Publisher : W. W. Norton & Company
ISBN 13 : 0393089827
Total Pages : 320 pages
Book Rating : 4.3/5 (93 download)

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Book Synopsis Naked Statistics: Stripping the Dread from the Data by : Charles Wheelan

Download or read book Naked Statistics: Stripping the Dread from the Data written by Charles Wheelan and published by W. W. Norton & Company. This book was released on 2013-01-07 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: A New York Times bestseller "Brilliant, funny…the best math teacher you never had." —San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called "sexy." From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions. And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.

Teaching Statistics

Author : Andrew Gelman
Publisher : OUP Oxford
ISBN 13 : 0191606995
Total Pages : 353 pages
Book Rating : 4.1/5 (916 download)

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Book Synopsis Teaching Statistics by : Andrew Gelman

Download or read book Teaching Statistics written by Andrew Gelman and published by OUP Oxford. This book was released on 2002-08-08 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Students in the sciences, economics, psychology, social sciences, and medicine take introductory statistics. Statistics is increasingly offered at the high school level as well. However, statistics can be notoriously difficult to teach as it is seen by many students as difficult and boring, if not irrelevant to their subject of choice. To help dispel these misconceptions, Gelman and Nolan have put together this fascinating and thought-provoking book. Based on years of teaching experience the book provides a wealth of demonstrations, examples and projects that involve active student participation. Part I of the book presents a large selection of activities for introductory statistics courses and combines chapters such as, 'First week of class', with exercises to break the ice and get students talking; then 'Descriptive statistics' , collecting and displaying data; then follows the traditional topics - linear regression, data collection, probability and inference. Part II gives tips on what does and what doesn't work in class: how to set up effective demonstrations and examples, how to encourage students to participate in class and work effectively in group projects. A sample course plan is provided. Part III presents material for more advanced courses on topics such as decision theory, Bayesian statistics and sampling.

Data Science in Education Using R

Author : Ryan A. Estrellado
Publisher : Routledge
ISBN 13 : 1000200906
Total Pages : 315 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Data Science in Education Using R by : Ryan A. Estrellado

Download or read book Data Science in Education Using R written by Ryan A. Estrellado and published by Routledge. This book was released on 2020-10-26 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.

Statistical Consulting

Author : Javier Cabrera
Publisher : Springer Science & Business Media
ISBN 13 : 1475736630
Total Pages : 397 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Statistical Consulting by : Javier Cabrera

Download or read book Statistical Consulting written by Javier Cabrera and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for the statistician or student interested in becoming a statistical consultant, as well as clients who need to understand what is involved in the consulting process. It discusses different consulting environments, provides detailed descriptions of communication skills a consultant must possess, and provides concrete examples and case-studies of varying complexity. Emphasis is placed on the importance of engaging the client's understanding of the purpose and interpretation of statistical procedures.

Black Enterprise Guide to Building Your Career

Author : Cassandra Hayes
Publisher : John Wiley & Sons
ISBN 13 : 0471211907
Total Pages : 269 pages
Book Rating : 4.4/5 (712 download)

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Book Synopsis Black Enterprise Guide to Building Your Career by : Cassandra Hayes

Download or read book Black Enterprise Guide to Building Your Career written by Cassandra Hayes and published by John Wiley & Sons. This book was released on 2002-07-17 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: The African American's 411 on choosing, landing, and bulletproofing your career Do you long for a satisfying career but just don't know how to make the transition? Have you recently earned your degree, only to ask yourself, "What now?" Are your skills so narrowly defined that you'll be an easy target for downsizing? Whether you're just starting out or starting over, make yourself indispensable in today's workforce with the Black Enterprise Guide to Building Your Career. With the help of questionnaires, aptitude summaries, and sidebar profiles of successful African American professionals, you'll learn how to: * Decide which career path is right for you, including corporate and not-for-profit jobs and entrepreneurship opportunities * Tailor your resume to fit your goals * Negotiate the best salary and benefits * Network with other black professionals * Navigate career transitions * Prepare yourself with information before you go on the interview * Discover current Web sites for African Americans that offer career advice and employment information * And much more! Give your career the jump-start it needs with the essential tips and advice found in the Black Enterprise Guide to Building Your Career. Special Bonus To keep you abreast of the latest business and money management information, Black Enterprise is pleased to offer: * A free issue of Black Enterprise magazine * A free Wealth Building Kit (See inside coupons for details.)

Careers in Statistics

Author : Institute For Institute For Career Research
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781722767907
Total Pages : 34 pages
Book Rating : 4.7/5 (679 download)

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Book Synopsis Careers in Statistics by : Institute For Institute For Career Research

Download or read book Careers in Statistics written by Institute For Institute For Career Research and published by Createspace Independent Publishing Platform. This book was released on 2018-07-08 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: STATISTICIANS USE MATHEMATICAL TECHNIQUES to collect and interpret information. The work is based on numbers, but unlike mathematicians who work on theoretical problems, statisticians use the numbers to solve real-life problems. Statisticians contribute to society in many ways. Some do serious work like finding ways to reduce hunger and disease, or studying the effects of global climate change on food supplies. Others help professional athletes up their game or help political candidates get elected. The biggest employer of statisticians is the federal government. Government statisticians work in just about every agency. For example, the Department of Labor has a large staff of statisticians studying things like employment rates, wage changes, growing and shrinking job sectors, and the demographic makeup of the workforce. The Department of Agriculture needs to know about crop conditions, livestock inventories, and how crops can be used for new products, and no mission at NASA proceeds without the thumbs up from their staff of statisticians. There is an obvious need for statisticians across all levels of government, but the demand is even greater outside the public sector. Statistical skills can be used to draw valuable insights from data in just about any industry. In fact, roughly 90 percent of America's industries use statistics in their daily operations. Since the advent of the computer, organizations of all kinds have been collecting and handling huge amounts of data. Computers can crunch the numbers, but statisticians are needed to analyze and interpret the data. They turn data into usable information that non-statisticians can understand and use to make good decisions. Statistics is the basis of one of the oldest professions in the world. Statistics were used to curb the spread of epidemics in the Middle Ages, and even ancient empires used them to track things like their populations, taxes, and important commodities like cattle. Yet the time has never been better to be a statistician. The career opportunities are so diverse, that statisticians can apply their knowledge to nearly any area they are passionate about. The demand for statisticians is at an all-time high. Employment for statisticians is growing fast, and so are their salaries. The median salary for those with less than three years of experience is $80,000, and that amount can double after being in the profession for at least nine years.

Computational Statistics in Data Science

Author : Richard A. Levine
Publisher : John Wiley & Sons
ISBN 13 : 1119561086
Total Pages : 672 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Computational Statistics in Data Science by : Richard A. Levine

Download or read book Computational Statistics in Data Science written by Richard A. Levine and published by John Wiley & Sons. This book was released on 2022-03-23 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ein unverzichtbarer Leitfaden bei der Anwendung computergestützter Statistik in der modernen Datenwissenschaft In Computational Statistics in Data Science präsentiert ein Team aus bekannten Mathematikern und Statistikern eine fundierte Zusammenstellung von Konzepten, Theorien, Techniken und Praktiken der computergestützten Statistik für ein Publikum, das auf der Suche nach einem einzigen, umfassenden Referenzwerk für Statistik in der modernen Datenwissenschaft ist. Das Buch enthält etliche Kapitel zu den wesentlichen konkreten Bereichen der computergestützten Statistik, in denen modernste Techniken zeitgemäß und verständlich dargestellt werden. Darüber hinaus bietet Computational Statistics in Data Science einen kostenlosen Zugang zu den fertigen Einträgen im Online-Nachschlagewerk Wiley StatsRef: Statistics Reference Online. Außerdem erhalten die Leserinnen und Leser: * Eine gründliche Einführung in die computergestützte Statistik mit relevanten und verständlichen Informationen für Anwender und Forscher in verschiedenen datenintensiven Bereichen * Umfassende Erläuterungen zu aktuellen Themen in der Statistik, darunter Big Data, Datenstromverarbeitung, quantitative Visualisierung und Deep Learning Das Werk eignet sich perfekt für Forscher und Wissenschaftler sämtlicher Fachbereiche, die Techniken der computergestützten Statistik auf einem gehobenen oder fortgeschrittenen Niveau anwenden müssen. Zudem gehört Computational Statistics in Data Science in das Bücherregal von Wissenschaftlern, die sich mit der Erforschung und Entwicklung von Techniken der computergestützten Statistik und statistischen Grafiken beschäftigen.

The Real Work of Data Science

Author : Ron S. Kenett
Publisher : John Wiley & Sons
ISBN 13 : 1119570719
Total Pages : 136 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis The Real Work of Data Science by : Ron S. Kenett

Download or read book The Real Work of Data Science written by Ron S. Kenett and published by John Wiley & Sons. This book was released on 2019-03-26 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Statistical Inference as Severe Testing

Author : Deborah G. Mayo
Publisher : Cambridge University Press
ISBN 13 : 1108563309
Total Pages : 503 pages
Book Rating : 4.1/5 (85 download)

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Book Synopsis Statistical Inference as Severe Testing by : Deborah G. Mayo

Download or read book Statistical Inference as Severe Testing written by Deborah G. Mayo and published by Cambridge University Press. This book was released on 2018-09-20 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.

Exploratory Data Mining and Data Cleaning

Author : Tamraparni Dasu
Publisher : John Wiley & Sons
ISBN 13 : 0471458643
Total Pages : 226 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis Exploratory Data Mining and Data Cleaning by : Tamraparni Dasu

Download or read book Exploratory Data Mining and Data Cleaning written by Tamraparni Dasu and published by John Wiley & Sons. This book was released on 2003-08-01 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written for practitioners of data mining, data cleaning and database management. Presents a technical treatment of data quality including process, metrics, tools and algorithms. Focuses on developing an evolving modeling strategy through an iterative data exploration loop and incorporation of domain knowledge. Addresses methods of detecting, quantifying and correcting data quality issues that can have a significant impact on findings and decisions, using commercially available tools as well as new algorithmic approaches. Uses case studies to illustrate applications in real life scenarios. Highlights new approaches and methodologies, such as the DataSphere space partitioning and summary based analysis techniques. Exploratory Data Mining and Data Cleaning will serve as an important reference for serious data analysts who need to analyze large amounts of unfamiliar data, managers of operations databases, and students in undergraduate or graduate level courses dealing with large scale data analys is and data mining.

101 Careers in Mathematics

Author : Andrew Sterrett
Publisher : Mathematical Association of America (MAA)
ISBN 13 :
Total Pages : 282 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis 101 Careers in Mathematics by : Andrew Sterrett

Download or read book 101 Careers in Mathematics written by Andrew Sterrett and published by Mathematical Association of America (MAA). This book was released on 1996 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors of the essays in this volume describe a wide variety of careers for which a background in the mathematical sciences is useful. Each of the jobs presented show real people in real jobs.

Statistics with Confidence

Author : Douglas Altman
Publisher : John Wiley & Sons
ISBN 13 : 1118702506
Total Pages : 256 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Statistics with Confidence by : Douglas Altman

Download or read book Statistics with Confidence written by Douglas Altman and published by John Wiley & Sons. This book was released on 2013-06-03 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly popular introduction to confidence intervals has been thoroughly updated and expanded. It includes methods for using confidence intervals, with illustrative worked examples and extensive guidelines and checklists to help the novice.