Cleaning Bank Marketing Campaign Data

Intermedio

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

Technologies

Python

Topics

Programming

Prerrequisitos

Cleaning Data in Python

George Boorman

Curriculum Manager, DataCamp

No solo confíe en nuestra palabra

de 14 opiniones

50%

14%

21%

14%

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Reseñas principales

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.

12 months

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?