Data Analytics Applications A Complete Guide 2019 Edition

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Data Analytics Application A Complete Guide - 2019 Edition

Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9780655807391
Total Pages : 320 pages
Book Rating : 4.8/5 (73 download)

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Book Synopsis Data Analytics Application A Complete Guide - 2019 Edition by : Gerardus Blokdyk

Download or read book Data Analytics Application A Complete Guide - 2019 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-06-27 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do weather conditions impact data quality? Will it allow users to retrieve their data and their application artifacts and to have strong assurance that the cloud service provider will delete all copies and not retain any materials belonging to the cloud service customer after an agreed period? Are you under/over communicating? How does data volume impact quality? Will it meet the latency, response time, concurrency, and throughput metrics and thresholds specified in a service level agreement? This exclusive Data Analytics Application self-assessment will make you the credible Data Analytics Application domain visionary by revealing just what you need to know to be fluent and ready for any Data Analytics Application challenge. How do I reduce the effort in the Data Analytics Application work to be done to get problems solved? How can I ensure that plans of action include every Data Analytics Application task and that every Data Analytics Application outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Analytics Application costs are low? How can I deliver tailored Data Analytics Application 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 Analytics Application essentials are covered, from every angle: the Data Analytics Application self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Analytics Application outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Analytics Application 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 Analytics Application are maximized with professional results. Your purchase includes access details to the Data Analytics Application 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 Analytics Application 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.

Data Analytics Applications A Complete Guide - 2019 Edition

Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9780655803447
Total Pages : 318 pages
Book Rating : 4.8/5 (34 download)

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Book Synopsis Data Analytics Applications A Complete Guide - 2019 Edition by : Gerardus Blokdyk

Download or read book Data Analytics Applications A Complete Guide - 2019 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-06-22 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do different log parsers affect the results of log mining? What is the data involved, how big is it and where is it located? Are you under/over communicating? How timely was the data reported? Will it protect the assured, proper, and consistent collection, processing, communication, use and disposition of personally identifiable information in the relation to cloud services? 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 Analytics Applications investments work better. This Data Analytics Applications All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Data Analytics Applications Self-Assessment. Featuring 984 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 Analytics Applications improvements can be made. In using the questions you will be better able to: - diagnose Data Analytics Applications 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 Analytics Applications and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Data Analytics Applications Scorecard, you will develop a clear picture of which Data Analytics Applications areas need attention. Your purchase includes access details to the Data Analytics Applications 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 Analytics Applications 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.

Data Analytics Applications a Complete Guide

Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9780655152842
Total Pages : 128 pages
Book Rating : 4.1/5 (528 download)

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Book Synopsis Data Analytics Applications a Complete Guide by : Gerardus Blokdyk

Download or read book Data Analytics Applications a Complete Guide written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2018-01-27 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: How likely is the current Data Analytics Applications plan to come in on schedule or on budget? How can you negotiate Data Analytics Applications successfully with a stubborn boss, an irate client, or a deceitful coworker? When a Data Analytics Applications manager recognizes a problem, what options are available? How do you assess your Data Analytics Applications workforce capability and capacity needs, including skills, competencies, and staffing levels? How are the Data Analytics Applications's objectives aligned to the organization's overall business strategy? This exclusive Data Analytics Applications self-assessment will make you the trusted Data Analytics Applications domain expert by revealing just what you need to know to be fluent and ready for any Data Analytics Applications challenge. How do I reduce the effort in the Data Analytics Applications work to be done to get problems solved? How can I ensure that plans of action include every Data Analytics Applications task and that every Data Analytics Applications outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Analytics Applications opportunity costs are low? How can I deliver tailored Data Analytics Applications 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 Analytics Applications essentials are covered, from every angle: the Data Analytics Applications self-assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that Data Analytics Applications outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Analytics Applications practitioners. Their mastery, combined with the uncommon elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data Analytics Applications are maximized with professional results. Your purchase includes access details to the Data Analytics Applications self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.

Data Analytics Applications A Complete Guide - 2020 Edition

Author : Gerardus Blokdyk
Publisher :
ISBN 13 : 9780655979418
Total Pages : 0 pages
Book Rating : 4.9/5 (794 download)

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Book Synopsis Data Analytics Applications A Complete Guide - 2020 Edition by : Gerardus Blokdyk

Download or read book Data Analytics Applications A Complete Guide - 2020 Edition written by Gerardus Blokdyk and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Analytics Applications A Complete Guide - 2020 Edition

Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9780655929413
Total Pages : 312 pages
Book Rating : 4.9/5 (294 download)

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Book Synopsis Data Analytics Applications A Complete Guide - 2020 Edition by : Gerardus Blokdyk

Download or read book Data Analytics Applications A Complete Guide - 2020 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-09-29 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Will it protect the assured, proper, and consistent collection, processing, communication, use and disposition of personally identifiable information in the relation to cloud services? Is it practical to move the data to an environment where the processing can be performed efficiently, or is it better to think about moving the processing to the data? Are you providing accurate/timely outage information? Are you under/over communicating? How do you protect the assured, proper, and consistent collection, processing, communication, use and disposition of personally identifiable information in the relation to cloud services? This easy Data Analytics Applications self-assessment will make you the reliable Data Analytics Applications domain master by revealing just what you need to know to be fluent and ready for any Data Analytics Applications challenge. How do I reduce the effort in the Data Analytics Applications work to be done to get problems solved? How can I ensure that plans of action include every Data Analytics Applications task and that every Data Analytics Applications outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Analytics Applications costs are low? How can I deliver tailored Data Analytics Applications 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 Analytics Applications essentials are covered, from every angle: the Data Analytics Applications self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Analytics Applications outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Analytics Applications 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 Analytics Applications are maximized with professional results. Your purchase includes access details to the Data Analytics Applications 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 Analytics Applications 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.

Analytics Applications A Complete Guide - 2019 Edition

Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9780655815587
Total Pages : 310 pages
Book Rating : 4.8/5 (155 download)

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Book Synopsis Analytics Applications A Complete Guide - 2019 Edition by : Gerardus Blokdyk

Download or read book Analytics Applications A Complete Guide - 2019 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-07-07 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do weather conditions impact data quality? Will it support an acceptable level of service in the face of faults (unintentional, intentional, or naturally caused) affecting normal operation? Are you providing accurate/timely outage information? What is the accuracy of the state-of-the-art log parsing methods? Which application is at the Center of the Universe? This instant Analytics Applications self-assessment will make you the trusted Analytics Applications domain veteran by revealing just what you need to know to be fluent and ready for any Analytics Applications challenge. How do I reduce the effort in the Analytics Applications work to be done to get problems solved? How can I ensure that plans of action include every Analytics Applications task and that every Analytics Applications outcome is in place? How will I save time investigating strategic and tactical options and ensuring Analytics Applications costs are low? How can I deliver tailored Analytics Applications 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 Applications essentials are covered, from every angle: the Analytics Applications self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Analytics Applications outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Analytics Applications 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 Applications are maximized with professional results. Your purchase includes access details to the Analytics Applications 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 Applications 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.

Analytics Application A Complete Guide - 2019 Edition

Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9780655817895
Total Pages : 304 pages
Book Rating : 4.8/5 (178 download)

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Book Synopsis Analytics Application A Complete Guide - 2019 Edition by : Gerardus Blokdyk

Download or read book Analytics Application A Complete Guide - 2019 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-07-10 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you providing accurate/timely outage information? Will it allow users to retrieve their data and their application artifacts and to have strong assurance that the cloud service provider will delete all copies and not retain any materials belonging to the cloud service customer after an agreed period? How do you ensure applications meet the latency, response time, concurrency, and throughput metrics and thresholds specified in a service level agreement? How do log parsing methods scale with the volume of logs? How timely was the data reported? 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 Analytics Application investments work better. This Analytics Application All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Analytics Application Self-Assessment. Featuring 909 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Analytics Application improvements can be made. In using the questions you will be better able to: - diagnose Analytics Application 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 Analytics Application and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Analytics Application Scorecard, you will develop a clear picture of which Analytics Application areas need attention. Your purchase includes access details to the Analytics Application 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 Analytics Application 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.

Guide to Big Data Applications

Author : S. Srinivasan
Publisher : Springer
ISBN 13 : 3319538179
Total Pages : 567 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Guide to Big Data Applications by : S. Srinivasan

Download or read book Guide to Big Data Applications written by S. Srinivasan and published by Springer. This book was released on 2017-05-25 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics, biology, energy, healthcare, and business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.

Big Data Science & Analytics

Author : Arshdeep Bahga
Publisher : Vpt
ISBN 13 : 9780996025546
Total Pages : 544 pages
Book Rating : 4.0/5 (255 download)

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Book Synopsis Big Data Science & Analytics by : Arshdeep Bahga

Download or read book Big Data Science & Analytics written by Arshdeep Bahga and published by Vpt. This book was released on 2016-04-15 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data is defined as collections of datasets whose volume, velocity or variety is so large that it is difficult to store, manage, process and analyze the data using traditional databases and data processing tools. We have written this textbook to meet this need at colleges and universities, and also for big data service providers.

Data Analytics: Principles, Tools, and Practices

Author : Gaurav Aroraa
Publisher : BPB Publications
ISBN 13 : 9388511956
Total Pages : 481 pages
Book Rating : 4.3/5 (885 download)

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Book Synopsis Data Analytics: Principles, Tools, and Practices by : Gaurav Aroraa

Download or read book Data Analytics: Principles, Tools, and Practices written by Gaurav Aroraa and published by BPB Publications. This book was released on 2022-01-24 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Complete Data Analytics Guide for Learners and Professionals. KEY FEATURES ● Learn Big Data, Hadoop Architecture, HBase, Hive and NoSQL Database. ● Dive into Machine Learning, its tools, and applications. ● Coverage of applications of Big Data, Data Analysis, and Business Intelligence. DESCRIPTION These days critical problem solving related to data and data sciences is in demand. Professionals who can solve real data science problems using data science tools are in demand. The book “Data Analytics: Principles, Tools, and Practices” can be considered a handbook or a guide for professionals who want to start their journey in the field of data science. The journey starts with the introduction of DBMS, RDBMS, NoSQL, and DocumentDB. The book introduces the essentials of data science and the modern ecosystem, including the important steps such as data ingestion, data munging, and visualization. The book covers the different types of analysis, different Hadoop ecosystem tools like Apache Spark, Apache Hive, R, MapReduce, and NoSQL Database. It also includes the different machine learning techniques that are useful for data analytics and how to visualize data with different graphs and charts. The book discusses useful tools and approaches for data analytics, supported by concrete code examples. After reading this book, you will be motivated to explore real data analytics and make use of the acquired knowledge on databases, BI/DW, data visualization, Big Data tools, and statistical science. WHAT YOU WILL LEARN ● Familiarize yourself with Apache Spark, Apache Hive, R, MapReduce, and NoSQL Database. ● Learn to manage data warehousing with real time transaction processing. ● Explore various machine learning techniques that apply to data analytics. ● Learn how to visualize data using a variety of graphs and charts using real-world examples from the industry. ● Acquaint yourself with Big Data tools and statistical techniques for machine learning. WHO THIS BOOK IS FOR IT graduates, data engineers and entry-level professionals who have a basic understanding of the tools and techniques but want to learn more about how they fit into a broader context are encouraged to read this book. TABLE OF CONTENTS 1. Database Management System 2. Online Transaction Processing and Data Warehouse 3. Business Intelligence and its deeper dynamics 4. Introduction to Data Visualization 5. Advanced Data Visualization 6. Introduction to Big Data and Hadoop 7. Application of Big Data Real Use Cases 8. Application of Big Data 9. Introduction to Machine Learning 10. Advanced Concepts to Machine Learning 11. Application of Machine Learning

Analytic Applications A Complete Guide - 2019 Edition

Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9780655803348
Total Pages : 312 pages
Book Rating : 4.8/5 (33 download)

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Book Synopsis Analytic Applications A Complete Guide - 2019 Edition by : Gerardus Blokdyk

Download or read book Analytic Applications A Complete Guide - 2019 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-06-22 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is sei/CMM certification a requirement? Do you use your warehouse environment as a repository for all data? How are the new Big Data developments captured in new Reference Architectures? How can the benefits of Big Data collection and applications be measured? How do you handle Big Data in Analytic Applications? This powerful Analytic Applications self-assessment will make you the reliable Analytic Applications domain standout by revealing just what you need to know to be fluent and ready for any Analytic Applications challenge. How do I reduce the effort in the Analytic Applications work to be done to get problems solved? How can I ensure that plans of action include every Analytic Applications task and that every Analytic Applications outcome is in place? How will I save time investigating strategic and tactical options and ensuring Analytic Applications costs are low? How can I deliver tailored Analytic Applications 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 Analytic Applications essentials are covered, from every angle: the Analytic Applications self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Analytic Applications outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Analytic Applications 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 Analytic Applications are maximized with professional results. Your purchase includes access details to the Analytic Applications 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 Analytic Applications 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.

Data Analytics

Author : Mohiuddin Ahmed
Publisher : CRC Press
ISBN 13 : 9781138500815
Total Pages : 425 pages
Book Rating : 4.5/5 (8 download)

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Book Synopsis Data Analytics by : Mohiuddin Ahmed

Download or read book Data Analytics written by Mohiuddin Ahmed and published by CRC Press. This book was released on 2018-09-28 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques. This book provides a broad picture on the concepts, techniques, applications, and open research directions in this area. --

Data Analytics A Complete Guide - 2019 Edition

Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9780655545101
Total Pages : 318 pages
Book Rating : 4.5/5 (451 download)

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Book Synopsis Data Analytics A Complete Guide - 2019 Edition by : Gerardus Blokdyk

Download or read book Data Analytics A Complete Guide - 2019 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-06-13 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: What does data analytics look like in other industries today? How likely is it that a particular approach will enable the solution to achieve your performance objectives for all workloads, current and anticipated, as requirements evolve? What % of reported events create incorrect outage predictions (due to data quality, timing or other issues)? What role does Industrial Data Analytics play in your organization? What kinds of work has been done on data analytics so far? 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 analytics investments work better. This Data analytics All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Data analytics Self-Assessment. Featuring 997 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 analytics improvements can be made. In using the questions you will be better able to: - diagnose Data analytics 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 analytics and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Data analytics Scorecard, you will develop a clear picture of which Data analytics areas need attention. Your purchase includes access details to the Data analytics 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 analytics 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.

Data Analytics

Author : Vernon Barrett
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781546418443
Total Pages : 82 pages
Book Rating : 4.4/5 (184 download)

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Book Synopsis Data Analytics by : Vernon Barrett

Download or read book Data Analytics written by Vernon Barrett and published by Createspace Independent Publishing Platform. This book was released on 2017-05 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analytics - A Comprehensive Beginner's Guide The book is an unstructured data mining quest, which takes the reader through different features of unstructured data mining while unfolding the practical facets of Big Data. It emphasizes more on machine learning and mining methods required for processing and decision-making. The text begins with the introduction to the subject and explores the concept of data mining methods and models along with the applications. It then goes into detail on other aspects of Big Data analytics, such as clustering, incremental learning, multi-label association and knowledge representation. The readers are also made familiar with business analytics to create value. The book finally ends with a discussion on the areas where research can be explored. The book is designed for the senior level undergraduate, and postgraduate students of computer science and engineering. Here Is A Preview Of What Inside The Book: Big data Statistics in practice Descriptive and Inferential Statistics Parameters and Statistics Statistical data analysis Variables SUMMARY OF THE GENERAL METHOD OF DECISION ANALYSIS ANOTHER DECISION TREE MODEL AND ITS ANALYSIS Making Data Work for You Predictive Modeling Techniques Take Action Today and Learn Data Analytics in no time! Click the "Buy now with 1-Click" to the right and get this guide immediately.

A General Introduction to Data Analytics

Author : João Moreira
Publisher : John Wiley & Sons
ISBN 13 : 1119296242
Total Pages : 352 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis A General Introduction to Data Analytics by : João Moreira

Download or read book A General Introduction to Data Analytics written by João Moreira and published by John Wiley & Sons. This book was released on 2018-07-18 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to the principles and methods of data analysis that does not require knowledge of statistics or programming A General Introduction to Data Analytics is an essential guide to understand and use data analytics. This book is written using easy-to-understand terms and does not require familiarity with statistics or programming. The authors—noted experts in the field—highlight an explanation of the intuition behind the basic data analytics techniques. The text also contains exercises and illustrative examples. Thought to be easily accessible to non-experts, the book provides motivation to the necessity of analyzing data. It explains how to visualize and summarize data, and how to find natural groups and frequent patterns in a dataset. The book also explores predictive tasks, be them classification or regression. Finally, the book discusses popular data analytic applications, like mining the web, information retrieval, social network analysis, working with text, and recommender systems. The learning resources offer: A guide to the reasoning behind data mining techniques A unique illustrative example that extends throughout all the chapters Exercises at the end of each chapter and larger projects at the end of each of the text’s two main parts Together with these learning resources, the book can be used in a 13-week course guide, one chapter per course topic. The book was written in a format that allows the understanding of the main data analytics concepts by non-mathematicians, non-statisticians and non-computer scientists interested in getting an introduction to data science. A General Introduction to Data Analytics is a basic guide to data analytics written in highly accessible terms.

Data Science Using Python and R

Author : Chantal D. Larose
Publisher : John Wiley & Sons
ISBN 13 : 1119526817
Total Pages : 256 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Data Science Using Python and R by : Chantal D. Larose

Download or read book Data Science Using Python and R written by Chantal D. Larose and published by John Wiley & Sons. This book was released on 2019-04-09 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist “the hottest job in America.” Python and R are the top two open-source data science tools in the world. In Data Science Using Python and R, you will learn step-by-step how to produce hands-on solutions to real-world business problems, using state-of-the-art techniques. Data Science Using Python and R is written for the general reader with no previous analytics or programming experience. An entire chapter is dedicated to learning the basics of Python and R. Then, each chapter presents step-by-step instructions and walkthroughs for solving data science problems using Python and R. Those with analytics experience will appreciate having a one-stop shop for learning how to do data science using Python and R. Topics covered include data preparation, exploratory data analysis, preparing to model the data, decision trees, model evaluation, misclassification costs, naïve Bayes classification, neural networks, clustering, regression modeling, dimension reduction, and association rules mining. Further, exciting new topics such as random forests and general linear models are also included. The book emphasizes data-driven error costs to enhance profitability, which avoids the common pitfalls that may cost a company millions of dollars. Data Science Using Python and R provides exercises at the end of every chapter, totaling over 500 exercises in the book. Readers will therefore have plenty of opportunity to test their newfound data science skills and expertise. In the Hands-on Analysis exercises, readers are challenged to solve interesting business problems using real-world data sets.

Python for Data Analysis

Author : Wes McKinney
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491957611
Total Pages : 553 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Python for Data Analysis by : Wes McKinney

Download or read book Python for Data Analysis written by Wes McKinney and published by "O'Reilly Media, Inc.". This book was released on 2017-09-25 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples