Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Modeling Decisions: Information Fusion and Aggregation Operators

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

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

Business Statistics and Data Processing

Storytelling with Data: Let's Practice!

Critical Data Literacies: Rethinking Data and Everyday Life

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

Deep Learning with PyTorch

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

Excel 2013 for Scientists: Master advanced Excel techniques and data analysis tailored for scientific research and workflows

100 Excel Simulations: Using Excel to Model Risk, Investments, Genetics, Growth, Gambling and Monte Carlo Analysis

Financial Modelling for Project Finance: Mastering Financial Models and Strategies for Funding Successful Projects with Confidence

Building Data Science Teams

Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python, Edition 2