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Common Data Sense for Professionals - A Process-Oriented Approach for Data-Science Projects
Rajesh Jugulum
Taylor & Francis Ltd (2022)
Pehmeäkantinen kirja
36,10
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The Mahalanobis-Taguchi Strategy
Genichi Taguchi; Rajesh Jugulum
John Wiley & Sons (2002)
Kovakantinen kirja
138,30
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Design for Lean Six Sigma - A Holistic Approach to Design and Innovation
Rajesh Jugulum; Philip Samuel; Zafer Bulent Yurdakul; Sambuddha Chakraborty
John Wiley and Sons Ltd (2008)
Kovakantinen kirja
84,70
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Competing with High Quality Data - Concepts, Tools, and Techniques for Building a Successful Approach to Data Quality
Rajesh Jugulum
John Wiley & Sons Inc (2014)
Kovakantinen kirja
103,80
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Robust Quality - Powerful Integration of Data Science and Process Engineering
Rajesh Jugulum
Taylor & Francis Inc (2018)
Kovakantinen kirja
119,90
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Robust Quality - Powerful Integration of Data Science and Process Engineering
Rajesh Jugulum
Taylor & Francis Ltd (2021)
Pehmeäkantinen kirja
63,60
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Common Data Sense for Professionals - A Process-Oriented Approach for Data-Science Projects
Rajesh Jugulum
Taylor & Francis Ltd (2022)
Kovakantinen kirja
134,50
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ostoskoriin kpl
Siirry koriin
Big Data Management and Analytics
Rajesh Jugulum
Taylor & Francis (2025)
Kovakantinen kirja
130,80
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ostoskoriin kpl
Siirry koriin
Common Data Sense for Professionals - A Process-Oriented Approach for Data-Science Projects
36,10 €
Taylor & Francis Ltd
Sivumäärä: 100 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2022, 28.01.2022 (lisätietoa)
Kieli: Englanti
Data is an intrinsic part of our daily lives. Everything we do is a data point. Many of these data points are recorded with the intent to help us lead more efficient lives. We have apps that track our workouts, sleep, food intake, and personal finance. We use the data to make changes to our lives based on goals we have set for ourselves. Businesses use vast collections of data to determine strategy and marketing. Data scientists take data, analyze it, and create models to help solve problems. You may have heard of companies having data management teams or chief information officers (CIOs) or chief data officers (CDOs), etc. They are all people who work with data, but their function is more related to vetting data and preparing it for use by data scientists.

The jump from personal data usage for self-betterment to mass data analysis for business process improvement often feels bigger to us than it is. In turn, we often think big data analysis requires tools held only by advanced degree holders. Although advanced degrees are certainly valuable, this book illustrates how it is not a requirement to adequately run a data science project. Because we are all already data users, with some simple strategies and exposure to basic analytical software programs, anyone who has the proper tools and determination can solve data science problems. The process presented in this book will help empower individuals to work on and solve data-related challenges.

The goal of this book is to provide a step-by-step guide to the data science process so that you can feel confident in leading your own data science project. To aid with clarity and understanding, the author presents a fictional restaurant chain to use as a case study, illustrating how the various topics discussed can be applied. Essentially, this book helps traditional businesspeople solve data-related problems on their own without any hesitation or fear. The powerful methods are presented in the form of conversations, examples, and case studies. The conversational style is engaging and provides clarity.

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Tilaustuote | Arvioimme, että tuote lähetetään meiltä noin 1-3 viikossa. | Tilaa jouluksi viimeistään 27.11.2024. Tuote ei välttämättä ehdi jouluksi.
Myymäläsaatavuus
Helsinki
Tapiola
Turku
Tampere
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ISBN:
9780367760489
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