Master Data Cleaning in Python with Pandas: A Step-by-Step Guide 🧹
Learn how to clean and prepare your data effectively using Python and Pandas. This tutorial walks you through a real-world hotel bookings dataset, making data cleaning simple and accessible!
Data Analytics Lab
22.8K views • Feb 14, 2025
About this video
In this step-by-step tutorial, I’ll walk you through the entire data cleaning process using Python and Pandas with a real-world hotel bookings dataset. Data cleaning with Python.
CHAPTERS:
00:00 Read in Dataset and First Look
01:49 Drop/Rename Columns
03:59 Dealing with NaNs/Null Values
10:49 Check Column Data Types
12:58 Grouping/Binning Data
16:29 Splitting Column Data
20:00 String Cleaning
21:54 Removing Duplicates
Dataset link: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand
#dataanalysis #datascience #datacleaning
CHAPTERS:
00:00 Read in Dataset and First Look
01:49 Drop/Rename Columns
03:59 Dealing with NaNs/Null Values
10:49 Check Column Data Types
12:58 Grouping/Binning Data
16:29 Splitting Column Data
20:00 String Cleaning
21:54 Removing Duplicates
Dataset link: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand
#dataanalysis #datascience #datacleaning
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Video Information
Views
22.8K
Likes
629
Duration
25:43
Published
Feb 14, 2025
User Reviews
4.6
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