Data Analysis with Python for Beginners - Ep 4: Data Cleaning скачать в хорошем качестве

Data Analysis with Python for Beginners - Ep 4: Data Cleaning

In this tutorial, we’ll learn how to clean our dataset by using Pandas functions like rename, replace, drop, and more! After this tutorial, you’ll have a solid understanding of how to modify your dataset in a way that makes it easier for you to analyze, which we will begin covering in the next couple of episodes! This video is part of an 8-part course designed to give absolute beginners an idea of what Data Analysis looks like using Python. What is Data Analysis? Data Analysis is the process of exploring, cleaning, transforming, and modeling data as a way to produce insightful conclusions or gather useful information. It is a field that is growing rapidly, along with Data Science, and one that is very high in demand. If you’re interested in taking that career route, or maybe just want to learn it as a skill, this course is for you! AI Global Index Dataset: https://www.kaggle.com/datasets/kater... Episode Timestamps: 00:00 - Intro 01:11 - groupby function 03:08 - Method Chaining 03:38 - Copying dataset 04:36 - Single data replacement 06:02 - replace function 07:19 - inplace argument 08:47 - Dropping columns 11:57 - Renaming columns 13:45 - dropna method 15:13 - fillna method 18:22 - Changing data types 20:08 - Dropping duplicates 21:11 - Creating new columns