Up and Running with Pandas
Pandas fundamentals — representing, exploring and evaluating data programmatically.
Up and Running with Pandas covers fundamental concepts for working with data using the pandas library. It is one of the most widely used data analysis and manipulation libraries in the Python and data science ecosystem.
Sign in to read this course
A free account unlocks all 514 courses. 20 are readable without one.
What's inside
8 sections- 1 Table of Contents
- 2 Course Overview
- 3 Introduction — Essential Tools
- 4 Understanding Data Fundamentals with pandas
- 5 Representing Data Programmatically
- 6 Exploring and Evaluating Data with pandas
- 7 Complete Reference Tables
- 8 Summary and Best Practices
More Python Foundations & Data Analysis courses
View all 26Python Data Essentials: Python Introduction
Get started with Python for data science — the basics, packages and core data structures.
Python Data Essentials: Programming Fundamentals
Conditionals, loops, functions and object-oriented basics to prepare for pandas and NumPy.
Cleaning Data with Pandas
Practical data cleaning, correlation analysis and data preparation with pandas.
Normalize Data for Analysis with Pandas
Why and how to normalize data, from simple techniques to Gaussian normalization with pandas and scikit-learn.
Pandas Functions
Advanced pandas — merge, join, concatenate, binning, pivot, melt and crosstab.
Plotting Data with Pandas
The Python visualization ecosystem and creating charts directly from pandas.
Interested in this course?
Contact us to book it or get a custom training plan for your team.