Crack Data Science 2022 book reading list

As we’re aiming for a fruitful & purpose driven 2022, Crack Data Science Community has prepared a list of solid & cutting-edge & industry proved books to help every life-time learner to live out a well-prepared & planed & executed year.

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Business Sense

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

The Model Thinker: What You Need to Know to Make Data Work for You

The Phoenix Project: A Novel about IT, DevOps, and Helping Your Business Win

The Unicorn Project: A Novel About Developers, Digital Disruption, and Thriving in the Age of Data

Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions

Product Sense

Silicon Valley Product Group

INSPIRED: How to Create Tech Products Customers Love (Silicon Valley Product Group)

EMPOWERED: Ordinary People, Extraordinary Products (Silicon Valley Product Group)

Experimentation / AB Testing

Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series)

The Book of Why: The New Science of Cause and Effect

Machine Learning

Practical MLOps

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Leadership

Extreme Ownership: How U.S. Navy SEALs Lead and Win

Peopleware: Productive Projects and Teams

Drive: The Surprising Truth About What Motivates Us

While Justice Sleeps: A Novel

Industry

Banking on It: How I Disrupted an Industry

How to use this list?

1. We’re going to select the book through internal community voting. Please feel free to work on your pace as well.
2. We’ll have summary posts on Medium & regular discussion and sync up through Crack Data Science clubhouse, so you will never be left alone and can always catch up the train.

If you haven’t done yet, here is the link where you could find us —

Crack Data Science

2021 Achievement