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

선수 조건 (1)

과제 (1)

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

19백만 명 이상의 학습자와 함께 Cleaning Bank Marketing Campaign Data을(를) 시작하세요!

DataCamp for Mobile을 통해 데이터 분석 능력을 향상시키세요.

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);}19백만 명 이상의 학습자와 함께 Cleaning Bank Marketing Campaign Data을(를) 시작하세요!

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DataCamp for Mobile을 통해 데이터 분석 능력을 향상시키세요.

19백만 명 이상의 학습자와 함께 Cleaning Bank Marketing Campaign Data을(를) 시작하세요!