Top 7 books for data scientists

The Black Swan

The Black Swan is from Nassim Nicholas Taleb’s landmark series, which looks at uncertainty, probability, risk, and the decision-making processes.

High Output Management

Grove was to break down the skill required to create and maintain a business in a single word, we think he would choose ‘management.’

Obviously Awesome: How to Nail Product Positioning

As a data scientist, you may not think of your work as a product, but it is. And you should be able to present what you do for your clients in a way that captivates the imagination.

The Mom Test

The Mom Test is all about improving your communication skills. Conversations with clients rarely go as expected.

Python Data Science Handbook: Essential Tools for Working with Data

Every action must be well thought out; manipulation, transformation, cleaning, and visualisation of data types must be precise.

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

The book is also full of practical case studies, making it an excellent resource for anyone new to Python or scientific computing.

Machine Learning Yearning

Ng’s books are simple to understand. You won’t find any heavy math theory; just a great way to learn how to make technical decisions during any machine learning project.