Pandas

Pandas is essential for data manipulation and analysis in Python. This Skill Tree provides a comprehensive learning path for mastering Pandas. Ideal for data science beginners, it offers a clear roadmap to understand DataFrames, data cleaning, and analysis techniques. Through hands-on, non-video courses and practical exercises in an interactive data science playground, you'll gain real-world experience in processing and analyzing complex datasets.

27 Skills|4 Courses|3 Projects

Quick Start with Pandas

Beginner

PandasPython

This course is designed for beginners who want to start analyzing data with Pandas. It covers the basics of Pandas, including data structures, data manipulation, and data visualization.

11 Labs

Your First Pandas Lab

Working with Pandas

Pandas Data Manipulation

Data Selection in Pandas

Pandas Plotting for Air Quality Analysis

Working with Columns in Pandas

Titanic Passenger Data Analysis with Pandas

Reshaping Data with Pandas

Combining Data Tables in Pandas

Handling Time Series Data

Pandas Textual Data

Pandas Practice Labs

Beginner

Pandas

This course contains lots of labs for Pandas, each lab is a small Pandas project with detailed guidance and solutions. You can practice your Pandas skills by completing these labs, improve your coding skills, and learn how to write clean and efficient code.

Lab

Pandas Practice Challenges

Beginner

Pandas

This course contains lots of challenges for Pandas, each challenge is a small Pandas project with detailed instructions and solutions. You can practice your Pandas skills by solving these challenges, improve your problem-solving skills, and learn how to write clean and efficient code.

Lab

100 Pandas Exercises

Intermediate

Pandas

Pandas is a tool for data processing based on NumPy,created to solve data analysis tasks. Pandas incorporates a number of libraries and some standard data models, as well as provides the functions and the methods needed for efficiently manipulating large datasets.

Lab