Principles of strategic data science: creating value from data, big and small
монография

Содержание

  • Cover; FM; Table of Contents; Preface; Chapter 1: What is Data Science?; Introduction; Data-Driven Organization; The Data Revolution; The Elements of Data Science; Domain Knowledge; Mathematical Knowledge; Computer Science; The Unicorn Data Scientist?; The Purpose of Data Science; Chapter 2: Good Data Science; Introduction; A Data Science Trivium; Useful Data Science; Reality; Data; Information; Knowledge; The Feedback Loop; Sound Data Science; Validity; Reliability; Reproducibility; Governance; Aesthetic Data Science; Visualization; Reports; Best-Practice Data Science
  • Chapter 3: Strategic Data ScienceIntroduction; The Data Science Continuum; Collecting Data; Descriptive Statistics; Business Reporting; Diagnostics; Qualitative Data Science; Predicting the Future; Traditional Predictive Methods; Machine Learning; Prescribing Action; Toward a Data-Driven Organization; Chapter 4: The Data-Driven Organization; Introduction; People; The Data Science Team; Data Science Consumers; Data Science Culture; Systems; Process; Define; Prepare; Understand; Communicate; The Limitations of Data Science; The Limits of Computation; Ethical Data Science; Chapter 5: References; Index.