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Field Guide to Compelling Analytics 1st Edition 2022 Hardbound at Meripustak

Field Guide to Compelling Analytics 1st Edition 2022 Hardbound by DeGrange, Walter, Taylor and Francis Ltd

Books from same Author: DeGrange, Walter

Books from same Publisher: Taylor and Francis Ltd

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  • General Information  
    Author(s)DeGrange, Walter
    PublisherTaylor and Francis Ltd
    Edition1st Edition
    ISBN9781032065250
    Pages110
    BindingHardbound
    LanguageEnglish
    Publish YearJuly 2022

    Description

    Taylor and Francis Ltd Field Guide to Compelling Analytics 1st Edition 2022 Hardbound by DeGrange, Walter

    FeaturesIncludes insight questions to support class discussion Written in broadly non-mathematical terms, designed to be accessible to any level of student or practicing AP to read, understand, and implement the concepts Each section introduces the ideas through real-life case studies 1. Introduction. 1.1. Defining an Analytics Professional. 1.2. Design of the Book. 1.3. Purpose of the Book. 1.4. Kidney Paired Donation Case Study. 2. Defining Analytics. 2.1. Real World Impact of Analytics. 2.2. Types of Analytics. 2.3. The Analytics Process. 2.4. Selecting an Analytical Approach. 2.5. Model Building. 2.6. Deploying a Model. 2.7. Post Deployment: Model Maintenance and Data Management. 2.8. Wrapping up Analytics. 2.9. Analytics Example: Kidney Exchange Model. 3. Trust. 3.1. What is Trust and Why it is Important. 3.2. How to Build Swift Trust. 3.3. Conventional Trust. 3.4. Trust in the Math Model. 3.5. Ethical Issues. 3.6. Real World Impact - Predictive Policing. 4. Communication. 4.1. The Goal of Communication. 4.2. Laying the Groundwork for Successful Communication. 4.3. Setting the Context. 4.4. Managing Expectation. 4.5. Make the Audience Care. 4.6. Atomizing Knowledge. 4.7. Levels of Understanding. 4.8. Gathering Information on Processes and Data. 4.9. Communicating with a Technical Audience. 4.10. Guiding the Conversation. 4.11. Using Data Visualization Effectively. 4.12. Minimizing Misleading Communication. 4.13. Spreading your Message. 4.14. Communications Example: Kidney Exchange Model. 5. Experience. 5.1. Organizational Experience. 5.2. Types of Experience. 5.3. Specialists Versus Generalists. 5.4. Learning Through Failure. 5.5. Starting Off: Creating Ways to Gain Experience. 5.6. Analytics Self Care. 6. Convince Them. 6.1. The Compelling Analytics Message. 6.2. Dimensions of Model Success. 6.3. Creating and Sustaining the Change. 6.4. How the Elements Interact. 6.5. Data and Denim. 7. Conclusion. 7.1. Why the Human Element Matters. 7.2. The Human Advantage over Automation. 7.3. Summing it Up. 7.4. Putting into Practice.



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