Data Science with Python Pandas by Athena Kan
Harvard Business Review named data scientist "the sexiest job of the 21st century." Python pandas is a commonly-used tool in the industry to easily and efficiently clean, analyze, and visualize data of varying sizes and types. In this seminar, we'll learn how to use pandas to extract meaningful insights and recommendations from real-world datasets.

▶︎
Exploratory Data Analysis with Pandas Python

▶︎
Data Science Best Practices with pandas (PyCon 2019)

▶︎
Complete Python Pandas Data Science Tutorial! (2025 Updated Edition)

▶︎
Introduction to Data Processing in Python with Pandas | SciPy 2019 Tutorial | Daniel Chen

▶︎
Learn Pandas in Under 3 Hours | Filtering, Joins, Indexing, Data Cleaning, Visualizations

▶︎
An Introduction to Git and GitHub by Brian Yu

▶︎
Solving real world data science tasks with Python Pandas!

▶︎
Automated Analysis of Music and Audio by Vivek Jayaram

▶︎
Learning Pandas for Data Analysis? Start Here.

▶︎
Daniel Chen | Introduction to Pandas

▶︎
Pandas Full Python Course - Data Science Fundamentals

▶︎
Pandas for Data Science in 20 Minutes | Python Crash Course

▶︎
Data Analysis with Python - Full Course for Beginners (Numpy, Pandas, Matplotlib, Seaborn)

▶︎
Brandon Rhodes - Pandas From The Ground Up - PyCon 2015

▶︎
GPT-4 - How does it work, and how do I build apps with it? - CS50 Tech Talk

▶︎
CS50 for Business - Lecture 3 - Practicing Programming

▶︎
Python Machine Learning Tutorial (Data Science)

▶︎
Complete Python Pandas Data Science Tutorial! (Reading CSV/Excel files, Sorting, Filtering, Groupby)

▶︎
Pandas for Data Analysis | SciPy 2017 Tutorial | Daniel Chen

▶︎
