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Cleaning Bank Marketing Campaign Data

MenengahTingkat Keterampilan
Diperbarui 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.
Mulai Proyek

Termasuk denganPremium or Team

PythonProgramming30 Min1 Tasks1,500 XP21,711

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Deskripsi Proyek

Cleaning Bank Marketing Campaign Data

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.

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.
Mulai Proyek
  • 1

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

Bergabunglah 18 juta pelajar dan mulai Cleaning Bank Marketing Campaign Data Hari Ini!

Buat Akun Gratis Anda

atau

Dengan melanjutkan, Anda menyetujui Ketentuan Penggunaan, Kebijakan Privasi kami serta bahwa data Anda disimpan di Amerika Serikat.