Udemy – Python Pandas Full Course 2025-2

Python Pandas Full Course. This full course introduces you to the Pandas library in Python to analyze and manipulate data. Pandas is an open-source and widely used tool used in fields such as statistics, finance, neuroscience, and web analytics. The library helps you load datasets from various formats such as Excel, CSV, and JSON, correct incorrect data, remove duplicates, and manage missing data. Some of the key features of Pandas include analyzing and manipulating data, grouping information, drawing graphs, and performing operations on text and date data. This course covers topics such as installing Pandas, creating DataFrames, working with Series, reading CSV and Excel files, indexing, deleting and adding columns, sorting data, handling duplicate values, string and time operations, data grouping, and statistical functions. This course is very useful for those who want to improve their skills in data science.

What you will learn:

• Learning Pandas from the ground up
• Learning Pandas for Data Science and Data Analysis
• Acquire basic Pandas skills
• Practice skills with over 100 coding exercises
• Learning Pandas best practices
• Professional programming ability in Pandas
• Learn how to easily read CSV and Excel files with Python

Who is this course suitable for?

• Those who want to learn Pandas by doing. This course includes over 50 practical exercises.
• Gain a deep understanding of Python Pandas
• Beginners Python Libraries
• Getting started with Pandas
• Learn all about Pandas

Python Pandas Full Course Details

• Publisher:  Udemy
• Instructor:  Studyopedia Trainings
• Training level: Beginner to advanced
• Training duration: 5 hours and 51 minutes
• Number of lessons: 27

Course topics

Python Pandas Full Course Prerequisites

• A computer with an Internet connection
• Python knowledge
• Passion to learn Pandas

Course images

Sample course video

Download link

Download Part 1 – 1 GB

Download Part 2 – 960 MB

File(s) password: www.downloadly.ir

File size

1.9 GB