Strengthening Links Between Data Analysis and Soft Computing

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Thinking Clearly with Data: A Guide to Quantitative Reasoning and Analysis

Uncertainty Modelling in Data Science

Practical Lakehouse Architecture: Designing and Implementing Modern Data Platforms at Scale

Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

Business Statistics and Data Processing

Storytelling with Data: Let's Practice!

Synergies of Soft Computing and Statistics for Intelligent Data Analysis

Driving Data Quality with Data Contracts: A comprehensive guide to building reliable, trusted, and effective data platforms

Soft Methods for Data Science

Bayesian Analysis with Python: A practical guide to probabilistic modeling, Edition 3

Building Bridges between Soft and Statistical Methodologies for Data Science

Managing Data as a Product: Design and build data-product-centered socio-technical architectures

Apache Spark Graph Processing