This video is your complete guide to Data Cleaning with Python one of the most important and time-consuming parts of every Data Analyst and Data Scientist job.
👉 In this video, you’ll learn:
00:00 Intro
00:52 Why Data Cleaning is Important?
02:27 Types of Problems in Raw Data
05:58 Step-by-Step Guide to Identify Problems in Data
19:23 Handling Missing Values
37:27 Fixing Inconsistent Formatting
43:00 Handling Duplicates
46:23 Correcting Data Types
48:32 Handling Outliers
By the end, you’ll confidently turn raw data into clean, analysis-ready datasets.
➖➖➖➖➖➖➖➖➖➖➖➖
➖➖➖➖➖➖➖➖➖➖➖➖➖
➖➖➖➖➖➖➖➖➖➖➖➖➖
Follow me on:
#DataCleaning #Python #DataAnalysis