Data Exploration A Complete Guide - 2019 Edition

Data Exploration A Complete Guide - 2019 Edition
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages: 300
Release: 2019-08-11
Genre:
ISBN: 9780655847939

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Among the data exploration product and service cost to be estimated, which is considered hardest to estimate? Does your organization need more data exploration education? How do you ensure that the data exploration opportunity is realistic? How do you verify the data exploration requirements quality? What are the short and long-term data exploration goals? This breakthrough Data Exploration self-assessment will make you the credible Data Exploration domain veteran by revealing just what you need to know to be fluent and ready for any Data Exploration challenge. How do I reduce the effort in the Data Exploration work to be done to get problems solved? How can I ensure that plans of action include every Data Exploration task and that every Data Exploration outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Exploration costs are low? How can I deliver tailored Data Exploration 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 Exploration essentials are covered, from every angle: the Data Exploration self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Exploration outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Exploration 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 Exploration are maximized with professional results. Your purchase includes access details to the Data Exploration 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 Exploration 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.

Exploratory Data Analysis a Complete Guide - 2019 Edition

Exploratory Data Analysis a Complete Guide - 2019 Edition
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages: 294
Release: 2018-12-20
Genre:
ISBN: 9780655515661

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How will you minimise dirty data? Do you have explanations for patterns that you see? How can you use your data to convince your audience? Is it possible to speed up the algorithm significantly in all situations? When is it considered completed? This breakthrough exploratory data analysis self-assessment will make you the reliable exploratory data analysis domain standout by revealing just what you need to know to be fluent and ready for any exploratory data analysis challenge. How do I reduce the effort in the exploratory data analysis work to be done to get problems solved? How can I ensure that plans of action include every exploratory data analysis task and that every exploratory data analysis outcome is in place? How will I save time investigating strategic and tactical options and ensuring exploratory data analysis costs are low? How can I deliver tailored exploratory data analysis 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 exploratory data analysis essentials are covered, from every angle: the exploratory data analysis self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that exploratory data analysis outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced exploratory data analysis 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 exploratory data analysis are maximized with professional results. Your purchase includes access details to the exploratory data analysis 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 exploratory data analysis 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.

Exploratory Data Analysis

Exploratory Data Analysis
Author: John Wilder Tukey
Publisher:
Total Pages:
Release: 1970
Genre: Mathematical statistics
ISBN:

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Fundamentals of Data Visualization

Fundamentals of Data Visualization
Author: Claus O. Wilke
Publisher: O'Reilly Media
Total Pages: 390
Release: 2019-03-18
Genre: Computers
ISBN: 1492031054

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Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization. Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value Understand the importance of redundant coding to ensure you provide key information in multiple ways Use the book’s visualizations directory, a graphical guide to commonly used types of data visualizations Get extensive examples of good and bad figures Learn how to use figures in a document or report and how employ them effectively to tell a compelling story

Data Analysis A Complete Guide - 2019 Edition

Data Analysis A Complete Guide - 2019 Edition
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages: 310
Release: 2019-06-13
Genre:
ISBN: 9780655544159

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What are some real time data analysis frameworks? How are the current generation of managers and auditors placed to interpret the result of Big Data analysis? Does a test systematically cover all parts of the construct? What resources are needed for data analysis, management, recordkeeping, and organization communication? What data analysis software will you use? This premium Data analysis self-assessment will make you the credible Data analysis domain auditor by revealing just what you need to know to be fluent and ready for any Data analysis challenge. How do I reduce the effort in the Data analysis work to be done to get problems solved? How can I ensure that plans of action include every Data analysis task and that every Data analysis outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data analysis costs are low? How can I deliver tailored Data analysis 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 analysis essentials are covered, from every angle: the Data analysis self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data analysis outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data analysis 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 analysis are maximized with professional results. Your purchase includes access details to the Data analysis 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 analysis 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.

Python for Data Analysis

Python for Data Analysis
Author: Wes McKinney
Publisher: "O'Reilly Media, Inc."
Total Pages: 553
Release: 2017-09-25
Genre: Computers
ISBN: 1491957611

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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

Data Visualization

Data Visualization
Author: Kieran Healy
Publisher: Princeton University Press
Total Pages: 292
Release: 2018-12-18
Genre: Social Science
ISBN: 0691181624

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An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective “small multiple” plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible. Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings. Provides hands-on instruction using R and ggplot2 Shows how the “tidyverse” of data analysis tools makes working with R easier and more consistent Includes a library of data sets, code, and functions

Data Science for Everyone

Data Science for Everyone
Author: Fatih AKAY
Publisher: Fatih Akay
Total Pages: 248
Release: 2023-03-20
Genre: Young Adult Nonfiction
ISBN:

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"Data Science for Everyone: A Beginner's Guide to Big Data and Analytics" is a comprehensive guide for anyone interested in exploring the field of data science. Written in a user-friendly style, this book is designed to be accessible to readers with no prior background in data science. The book covers the fundamentals of data science and analytics, including data collection, data analysis, and data visualization. It also provides an overview of the most commonly used tools and techniques for working with big data. The book begins with an introduction to data science and its applications, followed by an overview of the different types of data and the challenges of working with them. The subsequent chapters delve into the main topics of data science, such as data exploration, data cleaning, data modeling, and data visualization, providing step-by-step instructions and practical examples to help readers master each topic. Throughout the book, the authors emphasize the importance of data ethics and responsible data management. They also cover the basics of machine learning, artificial intelligence, and deep learning, and their applications in data science. By the end of this book, readers will have a solid understanding of the key concepts and techniques used in data science, and will be able to apply them to real-world problems. Whether you are a student, a professional, or simply someone interested in the field of data science, this book is an essential resource for learning about the power and potential of big data and analytics.