Cleaning Bank Marketing Campaign Data

중급기술 수준

업데이트됨 2024. 4.

Tidy a bank marketing campaign dataset by splitting it into subsets, updating values, converting data types, and storing it as multiple csv files.

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Cleaning Bank Marketing Campaign Data

Data cleaning is an essential skill for data engineers, encompassing reading, modifying, splitting, and storing data. In this notebook, you will apply your data-cleaning skills to process information about marketing campaigns run by a bank.You will need to modify values, add new features, convert data types, and save data into multiple files.

Cleaning Bank Marketing Campaign Data

Tidy a bank marketing campaign dataset by splitting it into subsets, updating values, converting data types, and storing it as multiple csv files.

프로젝트 시작

1
Use your data-cleaning skills to modify and process bank marketing campaign data!

Cleaning Bank Marketing Campaign Data

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Cleaning Bank Marketing Campaign Data

Cleaning Bank Marketing Campaign Data

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과제 (1)

Use your data-cleaning skills to modify and process bank marketing campaign data!

20백만 명 이상의 학습자와 함께 Cleaning Bank Marketing Campaign Data을(를) 시작하세요!

DataCamp for Mobile로 데이터 역량을 키우세요

프로젝트 설명

Cleaning Bank Marketing Campaign Data

선수 조건 (1)

과제 (1)

Use your data-cleaning skills to modify and process bank marketing campaign data!

.css-nklxlk{color:var(--wf-brand--main, #03EF62);}20백만 명 이상의 학습자와 함께 Cleaning Bank Marketing Campaign Data을(를) 시작하세요!

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DataCamp for Mobile로 데이터 역량을 키우세요

20백만 명 이상의 학습자와 함께 Cleaning Bank Marketing Campaign Data을(를) 시작하세요!