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Cleaning Bank Marketing Campaign Data

4.1+
13 revisiónes
Intermedio

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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1 Tasks1,500 XP

Preferido por estudiantes en miles de empresas


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

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No solo confíe en nuestra palabra

*4.1
de 13 opiniones
54%
15%
23%
8%
0%
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  • Ankush B.
    about 2 months

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

  • Alysson C.
    3 months

    It's a good project.

  • Bob J.
    7 months

    This is a very good challenging exercise for data cleaning

  • Charbel B.
    9 months

    Would be nice to actually manipulate the PostgreSQL database.

  • Karamagi D.
    9 months

    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?