Building Your First Classification Model in Python with Scikit-learn

Free Live ML Workshop #4 on Oct 1 - Register Now

dotsdots

A Beginner's Guide to Clean Data

Description

This book will help you to become a better data scientist by showing you the things that can go wrong when working with data - particularly low-quality data. A key difference between a junior and a senior data scientist is the awareness of potential pitfalls. The experienced data scientist will expect them, navigate around them and avoid costly iteration cycles. After reading this book, you will be able to spot data quality problems and deal with them before they can break your work, saving yourself a lot of time.Read more.

Career Relevance by Data Role

The techniques and tools covered in A Beginner's Guide to Clean Data are most similar to the requirements found in Data Scientist job advertisements.

Similarity Scores (Out of 100)