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Cleaning Bank Marketing Campaign Data

Intermediate
4+
14 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 XP14,019

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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
from 14 reviews
50%
14%
21%
14%
0%
  • Ankush B.
    11 months

    Good project to enhance your skills in treating data before doing any analysis.

  • Alysson C.
    12 months

    It's a good project.

  • Bob J.
    over 1 year

    This is a very good challenging exercise for data cleaning

  • Charbel B.
    over 1 year

    Would be nice to actually manipulate the PostgreSQL database.

  • Karamagi D.
    over 1 year

    It was a great project

"Good project to enhance your skills in treating data before doing any analysis."

Ankush B.

"It's a good project."

Alysson C.

"This is a very good challenging exercise for data cleaning"

Bob J.

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