Premium project
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 Project1 Tasks1,500 XP
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Project Description
Data cleaning is an important skill for data engineers, encompassing reading, modifying, splitting, and storing data. These abilities are highly sought after by businesses worldwide and continue to grow in demand.
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
- 1Use your data-cleaning skills to modify and process bank marketing campaign data!
Technologies
Python
Topics
ProgrammingGeorge Boorman
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Curriculum Manager, DataCamp
George is a Curriculum Manager at DataCamp. He holds a PGDip in Exercise for Health and BSc (Hons) in Sports Science and has experience in project management across public health, applied research, and not-for-profit sectors. George is passionate about sports, tech for good, and all things data science.