함께 코드 따라하기
코드 따라하기 ↗Cleaning Data in Python
In this live training, we will work on cleaning a dataset of audiobooks from audible.in
Rogelio Montemayor
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실습 문제하고 트랙하세요.
Google로 계속하기계속 진행하시면 다음 사항에 동의하는 것으로 간주됩니다: 이용약관 및 개인정보 처리방침 그리고 귀하의 데이터가 미국에 저장된다는 점에 동의하는 것으로 간주됩니다.관련
튜토리얼
Data Cleaning: Understanding the Essentials
Data cleaning is a very basic building block of data science. Learn the importance of data cleaning and how to use Python and carry out the process.
튜토리얼
A Beginner’s Guide to Data Cleaning in Python
Explore the principles of data cleaning in Python and discover the importance of preparing your data for analysis by addressing common issues such as missing values, outliers, duplicates, and inconsistencies.

코딩 실습
Exploratory Data Analysis in Python for Absolute Beginners
In this live codealong, you will learn the basics of exploring new datasets



Cleaning data is one of a data professional's most important yet overlooked skills. Clean, consistent data often impacts the accuracy of a machine learning model more than a better algorithm or feature engineering. In this live training, we will work on cleaning a dataset of audiobooks from audible.in
What will I learn?