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projeto

Cleaning Bank Marketing Campaign Data

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14 avaliações
Intermediário

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 Task1,500 XP9,924

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

Technologies

Python Python

Topics

Programming

Pré-requisitos

Cleaning Data in Python
George Boorman HeadshotGeorge Boorman

Curriculum Manager, DataCamp

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  • Ankush B.
    5 months

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

  • Alysson C.
    6 months

    It's a good project.

  • Bob J.
    10 months

    This is a very good challenging exercise for data cleaning

  • Charbel B.
    12 months

    Would be nice to actually manipulate the PostgreSQL database.

  • Karamagi D.
    12 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?