Skip to main content
HomePython

Project

Cleaning Bank Marketing Campaign Data

IntermediateSkill Level
4.8+
1,701 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.
Start Project

Included withPremium or Teams

PythonProgramming30 min1 Task1,500 XP22,757

Create Your Free Account

or

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

Loved by learners at thousands of companies

Group

Training 2 or more people?

Try DataCamp for Business

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 1,701 reviews
84%
16%
0%
0%
0%
  • Blessing Edmund Kwame
    1 hour ago

  • Noe
    1 hour ago

    Amazing work to practice all that I learned until this moment

  • aleksej
    9 hours ago

  • Pedro
    9 hours ago

  • Michael
    9 hours ago

  • Carmen
    10 hours ago

    Excellent project to practice what was learned in the course

Blessing Edmund Kwame

"Amazing work to practice all that I learned until this moment"

Noe

aleksej

FAQs

    Join over 19 million learners and start Cleaning Bank Marketing Campaign Data today!

    Create Your Free Account

    or

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