Data Understanding, Data Analysis, Data Science (Course Notes)

  Data Understanding, Data Analysis, Data Science

   Volume 1: Prelude to Data Understanding


     Data Understanding, Data Analysis, Data Science

      846 pages | October 2023 | Quadrangle
      Preface | Contents | Index | Back Cover | Datasets

      DUDADS Volumes: [1 | 2 | 3 | 4 | 5 | PDV]

      Idlewyld Analytics and Consulting Services    Data Action Lab
Chapter 01: Programming Primer (106 pages)
      P. Boily and J. Schellinck (with contributions from K. Cheung, A. Crowther, C. Ma, and E. Ghashim)
Chapter 02: Multivariate Calculus for Data Analysis (40 pages)
      F. Donzelli and P. Boily
Chapter 03: Overview of Linear Algebra (34 pages)
      F. Donzelli (with contributions by P. Boily)
Chapter 04: Basics of Numerical Methods (46 pages)
      P. Boily (inspired by D. Guignard)
Chapter 05: A Survey of Optimization (26 pages)
      P. Boily and K. Cheung
Chapter 06: Probability and Applications (84 pages)
      P. Boily (inspired by R. Kulik)
Chapter 07: Introductory Statistical Analysis (72 pages)
      P. Boily (with contributions from S. Hagiwara)
Chapter 08: Classical Regression Analysis (82 pages)
      P. Boily (inspired by G. Lamothe)
Chapter 09: Time Series and Forecasting (108 pages)
      P. Boily (inspired by R. Kulik)
Chapter 10: Survey Sampling Methods (134 pages)
      P. Boily (inspired by P. Farrell)
Chapter 11: The Design of Experiments (70 pages)
      P. Boily (inspired by D. Haziza)
Chapter 12: Simulations and Modeling (23 pages)
      J. Schellinck and P. Boily