Volume 1: Prelude to Data Understanding
846 pages | October 2023
Programming Primer; Multivariate Calculus for Data Analysis; Overview of Linear Algebra; Basics of Numerical Methods; A Survey of Optimization; Probability and Applications; Introductory Statistical Analysis; Classical Regression Analysis; Time Series and Forecasting; Survey Sampling Methods; The Design of Experiments; Simulations and Modeling
Volume 2: Fundamentals of Data Insight
310 pages | January 2024
Non-Technical Aspects of Quantitative and Data Work; Data Science Basics; Data Preparation; Web Scraping and Automatic Data Collection; Data Engineering and Data Management; Data Exploration and Data Visualization
Volume 3: Spotlight on Machine Learning
468 pages | July 2024
Introduction to Machine Learning; Regression and Value Estimation; Focus on Classification and Supervised Learning; Focus on Clustering; Feature Selection and Dimension Reduction
Volume 4: Techniques of Data Analysis
(coming in 2024)
Queueing Systems; Bayesian Data Analysis; Anomaly Detection and Outlier Analysis; Text Analysis and Text Mining; Mining Data Streams; (Social) Network Data Analysis
Volume 5: Special Topics in D.S. and A.I.
(coming in 2025)
What's the Big Deal with Big Data?; A Deep Learning Launchpad; Natural Language Processing; Reinforcement Learning and A.I.; Recommender Engines; Image Analysis and Computer Vision; Causality and Belief Networks
The Practice of Data Visualization
387 pages | July 2023
with J. Schellinck and S. Davies