Get an introduction to Pandas, the Python library for data analysis and data science. Master its tools for time series and learn how the data frame and panels tools work.
- [Instructor] Pandas is an opensource library that enables you to perform data analyses and data modeling workflows within Python. My name is Charles Kelly. I've been writing computer code since 1968. Currently, I use Pandas as part of my work developing systems for vehicle guidance centers. In this course, I'll use interactive notebooks to explain how you can use Pandas to enhance your workflows. I enjoy working with Pandas, and I want to convey my knowledge and enthusiasm to you.
Let's get started.
Watch this course to gain an overview of Pandas. Charles Kelly helps you get started with time series, data frames, panels, plotting, and visualization. All you need is a copy of the free and interactive Jupyter Notebook app to practice and follow along.
- Using the Markdown language and Jupyter Notebook
- Creating objects
- Selecting objects
- Using operations
- Merging data
- Creating series
- Creating data frames
- Creating panels
- Annotating plots and data frame plots
Skill Level Intermediate
Introduction to Data Analysis with Pythonwith Michele Vallisneri2h 16m Intermediate
NumPy Data Science Essential Trainingwith Charles Kelly3h 54m Intermediate
SQL for Data Reporting and Analysiswith Emma Saunders2h 16m Intermediate
1. Introduction to Notebooks
2. Pandas Overview
4. Data Frames and Panels
- Mark as unwatched
- Mark all as unwatched
Are you sure you want to mark all the videos in this course as unwatched?
This will not affect your course history, your reports, or your certificates of completion for this course.Cancel
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
1:30Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.