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Cleaning Bank Marketing Campaign Data

Intermediate
4.8+
92 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 minutes1 Task1,500 XP15,143

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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 for Free
  • 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 92 reviews
84%
16%
0%
0%
0%
  • Júlio César
    about 5 hours

  • Luis Andres
    about 7 hours

  • Jake
    about 16 hours

  • Mohamed
    about 17 hours

  • Roland
    about 18 hours

  • Aaron
    about 22 hours

Júlio César

Luis Andres

Jake

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