Learn how to use Python and Pandas for data analysis and data manipulation. Transform, clean and merge data with Python.
InstructorSamuel Hinton
CouponThe curriculum spans essential tasks like slicing and filtering to advanced operations such as MultiIndex, stacking, pivoting, and melting.
Instruction includes practical exercises at the end of chapters to help solidify concepts through application.
Editorial course preview
These 2 complementary views highlight concrete, legible examples from the course presentation.
This image displays a Pandas DataFrame containing financial time series data with columns for date, open, high, low, close, and volume, illustrating how to handle temporal datasets in Python.
The laptop screen displays a Python Pandas tutorial featuring a line graph visualization and a sidebar listing key features like real datasets and follow-along exercises.
The instructor's rapid speaking and coding pace often necessitates pausing or rewatching videos to fully grasp the material.
One recent signal indicates the Pandas version used in the lessons may be significantly outdated.