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Cleaning Bank Marketing Campaign Data

IntermediateSkill Level
4.8+
1,482 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 XP21,794

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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 1,482 reviews
83%
16%
0%
0%
0%
  • Ridwan
    3 hours ago

  • Amir
    7 hours ago

  • Thanh
    12 hours ago

    I think it's okay. I hope the that the problem will have more context. Like I formatted that column by changing "." to "_" for what ?

  • Harrinson
    yesterday

  • Sven
    yesterday

  • Enrique
    yesterday

Ridwan

"I think it's okay. I hope the that the problem will have more context. Like I formatted that column by changing "." to "_" for what ?"

Thanh

Harrinson

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