Books & Reading
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Build your career with hand-picked books that teach, inspire, and upskill.
Data Analyst
Practical reads that help analysts clean data better, ask smarter questions, and build insights that drive action.
Storytelling with Data
Cole Nussbaumer Knaflic
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A must-read for translating numbers into clear, visual insights.
Analysis With SQL & Excel
Gordon S. Linoff
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Practical guide to blending SQL and Excel for real-world business analysis.
Naked Statistics
Charles Wheelan
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Accessible stats without the dry academic tone; great for beginners.
Python for Data Analysis
Wes McKinney
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Manipulating, processing, cleaning, and crunching datasets in Python.
A Business Analyst Career
Laura Brandenburg
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Step confidently into the dynamic world of business analysis.
Excel Bible
Michael Alexander
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Covers pivot tables, formulas, macros, and data wrangling.
Data Engineer
Master the pipelines, platforms, and patterns behind clean, scalable, and production-ready data systems.
Data Engineering, Python
Paul Crickard
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Build, monitor, and manage real-time data pipelines.
Data Warehouse Toolkit
Ralph Kimball
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Classic dimensional modeling reference, from an original thinker.
Data-Driven Engineering
Steven L. Brunton
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Machine Learning, Dynamical Systems, and Control.
Designing Data Apps
Martin Kleppmann
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Foundational book for understanding modern data systems.
Data Engineering
Joe Reis & Matt Housley
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Hands-on look at the real tools and workflows used in data engineering today.
Streaming Systems
Tyler Akidau et al.
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Advanced read for engineers exploring real-time and streaming data.
Data Scientist
Practical reads that help analysts clean data better, ask smarter questions, and build insights that drive action.
A Career in Data Science
Emily Robinson
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A career roadmap covering job hunting, soft skills and team dynamics.
Stats for Data Scientists
Peter Bruce
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Stats concepts explained with real-world use cases and predictive modelling.
Data Science for Business
Foster Provost et al.
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For developing a strategic mindset around data science.
Python the Hard Way
Zed Shaw
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Simple Introduction to the Beautiful World of Computers and Code.
Hands-On ML
Aurélien Géron
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One of the most complete applied ML books out there.
Elements of Stats Learning
Hastie et al.
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A classic reference text for those getting deeper into statistical theory.
Machine Learning Engineer
Build your machine learning foundations; These books help translate algorithms and models into scalable, production-ready solutions.
Build ML Powered Apps
Emmanuel Ameisen
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Design, build, and deploy applications powered by machine learning.
ML Engineering, Python
Andrew McMahon
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Practical guide on how to build and scale solutions that solve problems.
The 100 page ML book
Andriy Burkov
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Core Machine Learning Concepts in just one hundred pages.
Designing ML Systems
Chip Huyen
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An Iterative process for production ready applications.
Hands-On ML
Aurélien Géron
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One of the most complete applied ML books out there.
ML Engineering
Andriy Burkov
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Best practices of building reliable machine learning solutions that scale.
Business & Communication
These books focus on storytelling, stakeholder alignment, communication, and business thinking.
The Pyramid Principle
Barbara Minto
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This book teaches how to structure thinking and communication.
Thinking in Systems
Donella Meadows
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Teaches a mindset for business systems, and leverage points.
Be Data Literate
Jordan Morrow
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Learn the ability to read, analyse and communicate with data.
Thinking with Data
Max Shron
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Focused on framing the right data questions and structuring arguments.
Competing on Analytics
Thomas H. Davenport
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How leading companies use analytics for real business advantage.
Made to Stick
Chip & Dan Heath
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The psychology of making ideas memorable, useful for data communicators.