Head First Excel: A learner's guide to spreadsheets

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Dataclysm: Love, Sex, Race, and Identity--What Our Online Lives Tell Us about Our Offline Selves

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

What Is Data Science?

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Decoding the Universe: How the New Science of Information Is Explaining Everythingin the Cosmos, fromOur Brains to Black Holes

M Is for (Data) Monkey: A Guide to the M Language in Excel Power Query

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

Learn Microsoft Power Apps: The definitive handbook for building solutions with Power Apps to solve your business needs, Edition 2

Excel Tips and Tricks

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

Excel Power Pivot & Power Query For Dummies: Edition 2

Python: Master the Art of Design Patterns

Practical Guide to Applied Conformal Prediction in Python: Learn and apply the best uncertainty frameworks to your industry applications

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

Analyzing Data with Power BI and Power Pivot for Excel