Exploring Pandas: A Beginner's Guide to Data Analysis in Python
Автор: GaribaITServices
Загружено: 2023-04-09
Просмотров: 12
link of library : - https://pandas.pydata.org/
In this video, we'll take a deep dive into Pandas, one of the most popular Python libraries for data analysis. Whether you're new to data analysis or just looking to brush up on your skills, this video will provide you with a solid foundation for using Pandas in your own projects.
We'll start by covering how to load data into Pandas from various sources, such as CSV, Excel, and SQL databases. From there, we'll explore the basics of data manipulation using Pandas functions like indexing, filtering, and grouping.
We'll also cover how to clean data by removing missing values, dealing with outliers, and handling duplicates. Once we have our data cleaned and organized, we'll move on to performing basic analysis using Pandas functions like aggregation, transformation, and pivot tables.
Finally, we'll touch on data visualization using Pandas' built-in plotting functions and the Matplotlib library.
By the end of this video, you'll have a solid understanding of the Pandas library and how to use it for your own data analysis projects.
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