Cleaning Data for Effective Data Science

By David Mertz,

Book cover of Cleaning Data for Effective Data Science: Doing the other 80% of the work with Python, R, and command-line tools

Book description

Think about your data intelligently and ask the right questions

Key Features Master data cleaning techniques necessary to perform real-world data science and machine learning tasks Spot common problems with dirty data and develop flexible solutions from first principles Test and refine your newly acquired skills through detailed exercises at…

Shepherd is reader supported. When you buy books, we may earn an affiliate commission.

Why read it?

1 author picked Cleaning Data for Effective Data Science as one of their favorite books. Why do they recommend it?

I like this book not just because it’s a complete guide to the many ins and outs of data cleaning with Python, but also because David lays out the types of problems and the issues behind them. There are always trade-offs in data cleaning and this book lays out those trade-offs better than any other I’ve seen. This is one of the few books that as I go through it, I struggle to think of anything that could have been said better. 

From Naomi's list on to level up your Python skills.

Want books like Cleaning Data for Effective Data Science?

Our community of 10,000+ authors has personally recommended 90 books like Cleaning Data for Effective Data Science.

Browse books like Cleaning Data for Effective Data Science

5 book lists we think you will like!

Interested in python, data science, and machine learning?

10,000+ authors have recommended their favorite books and what they love about them. Browse their picks for the best books about python, data science, and machine learning.

Python Explore 28 books about python
Data Science Explore 24 books about data science
Machine Learning Explore 47 books about machine learning