Saltar al contenido principal
InicioPython

proyecto

Cleaning Bank Marketing Campaign Data

Intermedio
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.
Iniciar Proyecto De Forma Gratuita

Incluido conPremium or Teams

1 Task1,500 XP11,645

Crea Tu Cuenta Gratuita

GoogleLinkedInFacebook

o

Al continuar, acepta nuestros Términos de uso, nuestra Política de privacidad y que sus datos se almacenan en los EE. UU.
Group

¿Entrenar a 2 o más personas?

Probar DataCamp for Business

Project Description

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.

Project Tasks

  1. 1
    Use your data-cleaning skills to modify and process bank marketing campaign data!

Technologies

Python Python

Topics

Programming
George Boorman HeadshotGeorge Boorman

Curriculum Manager, DataCamp

Ver Más

No solo confíe en nuestra palabra

*4
de 14 opiniones
50%
14%
21%
14%
0%
  • Ankush B.
    7 months

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

  • Alysson C.
    8 months

    It's a good project.

  • Bob J.
    about 1 year

    This is a very good challenging exercise for data cleaning

  • Charbel B.
    about 1 year

    Would be nice to actually manipulate the PostgreSQL database.

  • Karamagi D.
    about 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.

What do other learners have to say?