Roger Peng Executive Data Science

author Roger Peng
crossborder false
isbn 9781365121975
Вес 279 г
Высота упаковки 9 мм
Глубина упаковки 229 мм
Обложка Мягкая обложка
Ширина упаковки 152 мм
Описание:

In this concise book you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You'll get a crash course in data science so that you'll be conversant in the field and understand your role as a leader. You'll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You'll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you'll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects.



Roger Peng Executive Data Science Air pollution, the environment and data science: where do these intersect? Find out in this episode of DataFramed, in which Hugo speaks with Roger Peng, Professor in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. Roger D. Peng. Executive Data Science Brian Caffo, Roger D. Peng, Jeffrey T. Leek. Exploratory Data Analysis with R Roger D. Peng. Report Writing for Data Science in R Roger D. Peng. The Art of Data Science Roger D. Peng and Elizabeth Matsui. Implementing Reproducible Research Victoria Stodden, Friedrich Leisch, Roger D. Peng (editors) In this concise book you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You'll get a crash course in data science so that you'll be conversant in the field and understand your role as a leader.. Video created by Universidade Johns Hopkins for the course. Bio. Roger D. Peng is a Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and a Co-Editor of the Simply Statistics blog. He received his Ph.D. in Statistics from the University of California, Los Angeles and is a prominent researcher in the areas of air pollution and health risk assessment and statistical methods for environmental data. Find helpful customer reviews and review ratings for Executive Data Science at Amazon.com. Read honest and unbiased product reviews from our users. The third book that I start with is written by Brian Caffo, Roger D. Peng and Jeffrey Leek. Its title is

Data Science and the Environment (article) - DataCamp Roger Peng Executive Data Science

Find helpful customer reviews and review ratings for Executive Data Science at Amazon.com. Read honest and unbiased product reviews from our users. The third book that I start with is written by Brian Caffo, Roger D. Peng and Jeffrey Leek. Its title is. ‎Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R…. Sehen Sie sich das Profil von Roger Peng auf LinkedIn an, dem weltweit größten beruflichen Netzwerk. 4 Jobs sind im Profil von Roger Peng aufgelistet. Sehen Sie sich auf LinkedIn das vollständige Profil an. Erfahren Sie mehr über die Kontakte von Roger Peng und über Jobs bei ähnlichen Unternehmen. This is the companion book to the online Executive Data Science course offered by Johns Hopkins University. It is a nice summary of the topics covered in the course. It does, however, lack any of the graphics that were used in the discussions. Roger Peng Executive Data Science. We are the Data Science Team at Johns Hopkins University (Brian Caffo, Roger Peng, Jeff Leek) that created the JHU Data Science Specialization and the Executive Data Science Specialization on Coursera! The book covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing useful data science results and products. You will obtain rigorous training in the R language, including the skills for handling complex data, building R packages and developing custom data visualizations.. View Roger Peng’s professional profile on LinkedIn. LinkedIn is the world's largest business network, helping professionals like Roger Peng discover inside connections to recommended job.. Roger D. Peng. Roger D. Peng is an Associate Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. He is also a Co-Founder of the Johns Hopkins Data Science Specialization, which has enrolled over 1.5 million students, and the Simply Statistics blog where he writes about statistics for the general public. Roger can be found on Twitter and GitHub @rdpeng. This book covers the essential exploratory techniques for summarizing data with R. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data you have. We will cover in.. Roger D. Peng is a Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health where his research focuses on the development of statistical methods for addressing environmental health problems.

Data Science and the Environment (article) - DataCamp

Peng is the author of more than a dozen software packages implementing statistical methods for environmental studies, methods for reproducible research, and data distribution tools. He has also given workshops, tutorials, and short courses in statistical computing and data analysis. Roger D. Peng He is also a Co-Founder of the Johns Hopkins Data Science Specialization , which has enrolled over 1.5 million students, and the Simply Statistics blog where he writes about statistics for the general public.. We are the Data Science Team at Johns Hopkins University (Brian Caffo, Roger Peng, Jeff Leek) that created the JHU Data Science Specialization and the Executive Data Science Specialization on Coursera!. Roger D. Peng is a Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health where his research focuses on the development of statistical methods for addressing environmental health problems. Roger Peng Executive Data Science

We are the Data Science Team at Johns Hopkins University (Brian Caffo, Roger Peng, Jeff Leek) that created the JHU Data Science Specialization and the Executive Data Science Specialization on Coursera! The book covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing useful data science results and products. You will obtain rigorous training in the R language, including the skills for handling complex data, building R packages and developing custom data visualizations.. View Roger Peng’s professional profile on LinkedIn. LinkedIn is the world's largest business network, helping professionals like Roger Peng discover inside connections to recommended job.. Roger D. Peng. Roger D. Peng is an Associate Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. He is also a Co-Founder of the Johns Hopkins Data Science Specialization, which has enrolled over 1.5 million students, and the Simply Statistics blog where he writes about statistics for the general public. Roger can be found on Twitter and GitHub @rdpeng. This book covers the essential exploratory techniques for summarizing data with R. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data you have. We will cover in.. Roger D. Peng is a Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health where his research focuses on the development of statistical methods for addressing environmental health problems.

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