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Cleaning Bank Marketing Campaign Data

IntermediateSkill Level
4.8+
1,098 reviews
Updated 04/2024
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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PythonProgramming30 min1 Task1,500 XP19,982

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Project Description

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.
Start Project
  • 1

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

Don’t just take our word for it

*4.8
from 1,098 reviews
83%
17%
0%
0%
0%
  • Hector
    about 3 hours

  • Newsha
    about 4 hours

  • Anthony
    about 14 hours

  • Teun
    about 14 hours

  • David-Andrei
    about 15 hours

  • Naim
    about 20 hours

Hector

Newsha

Anthony

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    By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.