Building Insight: Advanced Analytical Models for Decision-Making. O6.0 TRANSFORM DATA

Par : Elizabeth Mogopodi
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  • FormatePub
  • ISBN8230123156
  • EAN9798230123156
  • Date de parution19/12/2024
  • Protection num.pas de protection
  • Infos supplémentairesepub
  • ÉditeurIndependently Published

Résumé

Building Insight: Advanced Analytical Models for Decision-Making" is a comprehensive guide to developing and applying advanced analytical models for extracting actionable insights from complex data. This ebook provides expert insights, real-world examples, and practical advice for data analysts, business leaders, and decision-makers seeking to drive data-driven decision-making. Discover how to: Master advanced analytical models, including regression, time series, machine learning, and Bayesian methods Apply techniques for data preparation, feature engineering, and model evaluation to ensure accurate and reliable results Develop and implement effective analytical strategies for extracting insights from complex data Communicate insights and recommendations to stakeholders, including data visualization and storytelling techniques This ebook covers key topics such as: Introduction to advanced analytical models: regression, time series, machine learning, and Bayesian methods Data preparation and feature engineering: techniques for extracting insights from complex data Model evaluation and selection: techniques for ensuring accurate and reliable results Applications in business, finance, healthcare, and social sciences: real-world examples and case studies Emerging trends and future directions: big data analytics, artificial intelligence, and machine learning This ebook is divided into four parts: Introduction to Advanced Analytical Models Data Preparation and Feature Engineering Model Evaluation and Selection Applications and Emerging Trends
Building Insight: Advanced Analytical Models for Decision-Making" is a comprehensive guide to developing and applying advanced analytical models for extracting actionable insights from complex data. This ebook provides expert insights, real-world examples, and practical advice for data analysts, business leaders, and decision-makers seeking to drive data-driven decision-making. Discover how to: Master advanced analytical models, including regression, time series, machine learning, and Bayesian methods Apply techniques for data preparation, feature engineering, and model evaluation to ensure accurate and reliable results Develop and implement effective analytical strategies for extracting insights from complex data Communicate insights and recommendations to stakeholders, including data visualization and storytelling techniques This ebook covers key topics such as: Introduction to advanced analytical models: regression, time series, machine learning, and Bayesian methods Data preparation and feature engineering: techniques for extracting insights from complex data Model evaluation and selection: techniques for ensuring accurate and reliable results Applications in business, finance, healthcare, and social sciences: real-world examples and case studies Emerging trends and future directions: big data analytics, artificial intelligence, and machine learning This ebook is divided into four parts: Introduction to Advanced Analytical Models Data Preparation and Feature Engineering Model Evaluation and Selection Applications and Emerging Trends