Data Analysis A Complete Guide - 2019 Edition
Data Analysis A Complete Guide - 2019 Edition

Author: Gerardus Blokdyk

Publisher: 5starcooks

Published: 2019-06-13

Total Pages: 310

ISBN-13: 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.

Exploratory Data Analysis a Complete Guide - 2019 Edition
Exploratory Data Analysis a Complete Guide - 2019 Edition

Author: Gerardus Blokdyk

Publisher: 5starcooks

Published: 2018-12-20

Total Pages: 294

ISBN-13: 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.

Mastering pandas
Mastering pandas

Author: Ashish Kumar

Publisher: Packt Publishing Ltd

Published: 2019-10-25

Total Pages: 658

ISBN-13: 1789343356

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Perform advanced data manipulation tasks using pandas and become an expert data analyst. Key FeaturesManipulate and analyze your data expertly using the power of pandasWork with missing data and time series data and become a true pandas expertIncludes expert tips and techniques on making your data analysis tasks easierBook Description pandas is a popular Python library used by data scientists and analysts worldwide to manipulate and analyze their data. This book presents useful data manipulation techniques in pandas to perform complex data analysis in various domains. An update to our highly successful previous edition with new features, examples, updated code, and more, this book is an in-depth guide to get the most out of pandas for data analysis. Designed for both intermediate users as well as seasoned practitioners, you will learn advanced data manipulation techniques, such as multi-indexing, modifying data structures, and sampling your data, which allow for powerful analysis and help you gain accurate insights from it. With the help of this book, you will apply pandas to different domains, such as Bayesian statistics, predictive analytics, and time series analysis using an example-based approach. And not just that; you will also learn how to prepare powerful, interactive business reports in pandas using the Jupyter notebook. By the end of this book, you will learn how to perform efficient data analysis using pandas on complex data, and become an expert data analyst or data scientist in the process. What you will learnSpeed up your data analysis by importing data into pandasKeep relevant data points by selecting subsets of your dataCreate a high-quality dataset by cleaning data and fixing missing valuesCompute actionable analytics with grouping and aggregation in pandasMaster time series data analysis in pandasMake powerful reports in pandas using Jupyter notebooksWho this book is for This book is for data scientists, analysts and Python developers who wish to explore advanced data analysis and scientific computing techniques using pandas. Some fundamental understanding of Python programming and familiarity with the basic data analysis concepts is all you need to get started with this book.

Python for Data Analysis
Python for Data Analysis

Author: Wes McKinney

Publisher: "O'Reilly Media, Inc."

Published: 2017-09-25

Total Pages: 553

ISBN-13: 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

Qualitative Data Analysis with NVivo
Qualitative Data Analysis with NVivo

Author: Patricia Bazeley

Publisher: SAGE

Published: 2007-04-12

Total Pages: 233

ISBN-13: 1446234959

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`In plain language but with very thorough detail, this book guides the researcher who really wants to use the NVivo software (and use it now) into their project. The way is lit with real-project examples, adorned with tricks and tips, but it’s a clear path to a project' - Lyn Richards, Founder and Non-Executive Director, QSR International Doing Qualitative Data Analysis with NVivo is essential reading for anyone thinking of using their computer to help analyze qualitative data. With 15 years experience in computer-assisted analysis of qualitative and mixed-mode data, Patricia Bazeley is one of the leaders in the use and teaching of NVivo software. Through this very practical book, readers are guided on how best to make use of the powerful and flexible tools offered by the latest version of NVivo as they work through each stage of their research projects. Explanations draw on examples from her own and others' projects, and are supported by the methodological literature. Researchers have different requirements and come to their data from different perspectives. This book shows how NVivo software can accommodate and assist analysis across those different perspectives and methodological approaches. It is required reading for both students and experienced researchers alike.

Advanced Analytics with Excel 2019
Advanced Analytics with Excel 2019

Author: Manisha Nigam

Publisher: BPB Publications

Published: 2020-06-19

Total Pages: 552

ISBN-13: 9389845807

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Explore different ways and methods to consolidate data, complex analysis, and prediction or forecast based on trends Ê KEY FEATURESÊ _ Ê Ê Use the Analysis ToolPak to perform complex Data analysis _ Ê Ê Get well versed with the formulas, functions, and components in Excel _ Ê Ê Handy templates to give you a head start _ Ê Ê Usage of multiple examples to explain the application in a real-world scenario _ Ê Ê Implement macros for your everyday tasks that will help you save your time _ Ê Ê Explore different Charts types for Data visualization Ê Ê DESCRIPTION Book explains and simplify the usage of Excel features and functionalities, with the help of examples. It starts with ÔGetting Started with ExcelÕ and ÔPerforming functions with shortcut keysÕ which will help you in getting started with Excel. Then ÔFormulas and FunctionsÕ gives an initial understanding of what are operators, formulas, functions, their components. Further ÔData Visualization with new Charts typesÕ, ÔGantt and Milestone chartÕ, ÔSmartArt and Organization ChartÕ give details on the different chart types available in Excel. Ê In the intermediate section you will learn ÔGet creative with Icons, 3D models, Digital InkingÕ details multiple new and improved features that got introduced to enhance the visual presentation. In the end, Chapters ÔMail Merge using ExcelÕ, ÔCreate Custom Excel TemplateÕ and ÔMacros in ExcelÕ explain the Excel features that help in automating tasks. You will learn how to generate multiple documents automatically with customization, create and use your own templates and use of macros to do repeated task automatically. And at last Chapter ÔGet help for your problemÕ lists few problem statements and their probable solutions with references to the Excel feature or functionality that can be used to resolve the problem. Ê Ê Ê WHAT WILL YOU LEARN _ Ê Ê Get familiar with the most used advanced Excel formulas and functions for Data analysis _ Ê Ê Learn how to create a Gantt / Timeline / Milestone Chart in Excel _ Ê Ê Use charts for Better Data visualization _ Ê Ê Build organization charts with SmartArt tools in Excel _ Ê Ê Use the Analysis ToolPak & Power Pivots to perform complex Data analysis _ Ê Ê Learn how to link and share workbooks for automatic updates ÊÊ WHO THIS BOOK IS FOR This book is for professionals from any domain, who are searching for shortcuts & advanced methods to resolve their daily problems.Ê Ê Table of Contents 1.Ê Ê Ê Getting Started with Excel 2.Ê Ê Ê Perform Functions with Shortcut Keys 3.Ê Ê Ê Formulas and Functions 4.Ê Ê Ê Data Visualization with New Chart types 5.Ê Ê Ê Gantt and Milestone Chart 6.Ê Ê Ê SmartArt & Organization Chart 7.Ê Ê Get creative with Icons, 3D models, Digital Inking 8.Ê Ê Ê Putting Data in perspective with Pivots 9.Ê Ê Ê Complex Data Analysis using ToolPak 10.Ê Forecasting in Excel 11.Ê Mail Merge using Excel 12.Ê Create Custom Excel Template 13.Ê Macros in Excel 14.Ê Get help for your problem

Data Analytics Maturity A Complete Guide - 2019 Edition
Data Analytics Maturity A Complete Guide - 2019 Edition

Author: Gerardus Blokdyk

Publisher: 5starcooks

Published: 2019-05-03

Total Pages: 320

ISBN-13: 9780655542933

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Act/Adjust: what do you need to do differently? What do you do in data analysis and data mining? How are advances in digital technology changing the way you work, your industry and your community? When is it considered completed? 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 Maturity investments work better. This Data Analytics Maturity All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Data Analytics Maturity Self-Assessment. Featuring 983 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 Maturity improvements can be made. In using the questions you will be better able to: - diagnose Data Analytics Maturity 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 Maturity and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Data Analytics Maturity Scorecard, you will develop a clear picture of which Data Analytics Maturity areas need attention. Your purchase includes access details to the Data Analytics Maturity 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 Maturity 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 A Complete Guide - 2019 Edition
Data Analytics A Complete Guide - 2019 Edition

Author: Gerardus Blokdyk

Publisher: 5starcooks

Published: 2019-06-13

Total Pages: 318

ISBN-13: 9780655545101

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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.

Problem Solving and Data Analysis Using Minitab
Problem Solving and Data Analysis Using Minitab

Author: Rehman M. Khan

Publisher: John Wiley & Sons

Published: 2013-01-28

Total Pages: 715

ISBN-13: 1118307526

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Six Sigma statistical methodology using Minitab Problem Solving and Data Analysis using Minitab presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving. Each example and exercise is broken down into the exact steps that must be followed in order to take the reader through key learning points and work through complex analyses. Exercises are featured at the end of each example so that the reader can be assured that they have understood the key learning points. Key features: Provides readers with a step by step guide to problem solving and statistical analysis using Minitab 16 which is also compatible with version 15. Includes fully worked examples with graphics showing menu selections and Minitab outputs. Uses example based learning that the reader can work through at their pace. Contains hundreds of screenshots to aid the reader, along with explanations of the statistics being performed and interpretation of results. Presents the core statistical techniques used by Six Sigma Black Belts. Contains examples, exercises and solutions throughout, and is supported by an accompanying website featuring the numerous example data sets. Making Six Sigma statistical methodology accessible to beginners, this book is aimed at numerical professionals, students or academics who wish to learn and apply statistical techniques for problem solving, process improvement or data analysis whilst keeping mathematical theory to a minimum.

Data And Analytics A Complete Guide - 2019 Edition
Data And Analytics A Complete Guide - 2019 Edition

Author: Gerardus Blokdyk

Publisher: 5starcooks

Published: 2019-06-30

Total Pages: 312

ISBN-13: 9780655810087

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Is the user presented with recommended best-fit visualizations throughout the discovery process based on the chosen analysis path? Do you have a data strategy in place, and what specific objectives exist for payroll data and analytics? What is the current maturity of your IT Group or organization in new Technologies especially using Big Data and Analytics? How are leadership, skills and roles critical to your data and analytics success? Can an administrator perform an impact analysis to determine the scope and severity of a proposed change to downstream content and processes? 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 And Analytics investments work better. This Data And Analytics All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Data And Analytics Self-Assessment. Featuring 996 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 And Analytics improvements can be made. In using the questions you will be better able to: - diagnose Data And 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 And Analytics and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Data And Analytics Scorecard, you will develop a clear picture of which Data And Analytics areas need attention. Your purchase includes access details to the Data And 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 And 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.