Cleaning Bank Marketing Campaign Data

MedelnivåKunskapsnivå

Uppdaterad 2024-04

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

Projektbeskrivning

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.

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

Cleaning Bank Marketing Campaign Data

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Projektbeskrivning

Cleaning Bank Marketing Campaign Data

Cleaning Bank Marketing Campaign Data

Förkunskaper (1)

uppgift (1)

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

Gå med 19 miljoner lärande och börja Cleaning Bank Marketing Campaign Data idag!

Utveckla dina datakunskaper med DataCamp för mobilen

Projektbeskrivning

Cleaning Bank Marketing Campaign Data

Förkunskaper (1)

uppgift (1)

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

Gå med .css-nklxlk{color:var(--wf-brand--main, #03EF62);}19 miljoner lärande och börja Cleaning Bank Marketing Campaign Data idag!

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Utveckla dina datakunskaper med DataCamp för mobilen

Gå med 19 miljoner lärande och börja Cleaning Bank Marketing Campaign Data idag!