Humble Tech Book Bundle: Data Science by O'Reilly

This thoroughly revised guide demonstrates how the flexibility of the command l...

Data engineering has grown rapidly in the past decade, leaving many software en...

Python is a first-class tool for many researchers, primarily because of its lib...

Get the definitive handbook for manipulating, processing, cleaning, and crunchi...

Data science happens in code. The ability to write reproducible, robust, scalea...

Our physical world is grounded in three dimensions. To create technology that c...

Do your product dashboards look funky? Are your quarterly reports stale? Is the...

Statistical methods are a key part of data science, yet few data scientists hav...

To really learn data science, you should not only master the tools—data science...

Companies innovating with generative AI understand that having the right data f...

As data management continues to evolve rapidly, managing all of your data in a ...

Poor data quality can cause major problems for data teams, from breaking revenu...

Data projects are an intrinsic part of an organization's technical ecosystem, b...

AI is only as capable as the context it’s given, and context is a data engineer...

As you move data to the cloud, you need to consider a comprehensive approach to...

With this practical book, AI and machine learning practitioners will learn how ...

Learn how easy it is to apply sophisticated statistical and machine learning me...

This practical guide provides a collection of techniques and best practices tha...

Data fabric, data lakehouse, and data mesh have recently appeared as viable alt...

Master the math needed to excel in data science, machine learning, and statisti...

Effective visualization is the best way to communicate information from the inc...

Are you ready to grow your skills in AI and data science? A great place to star...

Passing the PL-300 exam with 2025 revisions isn't just about memorization—you n...

If you want to work in any computational or technical field, you need to unders...

What value does semantic data modeling offer? As an information architect or da...