Skip to main content
HomePython

Project

Cleaning Bank Marketing Campaign Data

IntermediateSkill Level
4.8+
1,458 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 XP21,655

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.
Group

Training 2 or more people?

Try DataCamp for Business

Loved by learners at thousands of companies

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 1,458 reviews
83%
16%
0%
0%
0%
  • zhenzhong
    13 minutes ago

  • Amr
    33 minutes ago

  • Ajapol
    16 hours ago

  • Jim
    19 hours ago

  • Damien
    yesterday

  • Michael Anekson
    yesterday

zhenzhong

Amr

Ajapol

FAQs

Join over 18 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.