This course on Python Pandas aims to teach learners the basics of the Pandas software library for data analysis. By the end of the course, students will be able to understand Pandas Series, Pandas DataFrame, reading data from a file, selection operations, handling missing values, duplicates, and data transformation. The teaching method includes practical examples and downloadable instructor files for hands-on practice. This course is designed for beginners who are interested in using Python for data analysis.
Overview
Syllabus
- Video Intro
- Intro to Pandas
- Installing Pandas
- Pandas Series
- Pandas DataFrame
- Reading Data From a File
- Selection Operation in Pandas DataFrame
- Handling Missing Values and Duplicates
- Structural Manipulation in Pandas DataFrame
- Data Transformation
Taught by
Simon Sez IT
