Pandas Syllabus
Introduction
The W3Schools Pandas Tutorial is comprehensive and beginner-friendly.
It will give you a fundamental knowledge of Pandas.
It is designed for beginners and requires only basic Python knowledge.
The content has been carefully made to be bite-sized, simple, and easy to understand.
The content has been proven by millions of users over the years. It is updated and improved frequently.
The syllabus outline and its sequence are structured so you can learn Pandas step by step, from the introduction to data analysis.
Learning Outcomes
- Understand the basic structure of Pandas DataFrames and Series.
- Load and manipulate data from various sources.
- Clean and preprocess data effectively.
- Perform data analysis and aggregation.
- Handle missing data appropriately.
- Create data visualizations.
- Work with time series data.
- Merge and join datasets.
- Export data to different formats.
Note: Are you a teacher teaching Pandas? W3Schools Academy is a toolbox of features that can help you teach. It offers classroom features such as pre-built study plans, classroom administration and much more. Read more about Academy here.
Which Subjects Are Pandas Relevant For?
-
Data Analysis:
Pandas is essential for data manipulation and analysis. -
Data Science:
Pandas is fundamental for data preparation and exploration. -
Business Analytics:
Pandas helps analyze business data and create reports. -
Finance:
Pandas is perfect for financial data analysis and time series. -
Research:
Pandas supports data cleaning and statistical analysis. -
Machine Learning:
Pandas is crucial for data preprocessing in ML projects. -
Data Engineering:
Pandas helps in data transformation and ETL processes.
Activities
In this tutorial we offer different activities for you to learn Pandas for free:
Sign in to Track Progress
You can also create a free account to track your progress.
As a signed-in user, you get access to features such as:
- Learning paths
- Sandbox and lab environments
- Achievements
- And much more!
Overview of the Modules
Sandbox and Lab Environment
Pandas, like any other library, is best learned through hands-on practice.
Try this example using our editor:
Example
Load a CSV file into a Pandas DataFrame:
import pandas as pd
df = pd.read_csv('data.csv')
print(df.to_string())
Try it Yourself »
If you want to explore more and host your project, we have a feature called Spaces that allows you to build, test and deploy Python projects for free.
Here you get a secure sandbox environment called Spaces, where you can practice Pandas code and test projects in real-time.
Spaces allow you to test, build, and deploy code. This includes a W3Schools subdomain, hosting, and secure SSL certificates.
Spaces require no installation and run directly in the browser.
Features include:
- Collaboration
- File navigator
- Terminal & log
- Package manager
- Database
- Environment manager
- Analytics
Pandas Certification
W3Schools offers an end-of-pathway certification program.
Here you can take exams to get certified.
The Pandas exam is a test that summarizes the W3Schools Pandas syllabus.
After passing the exam you get the "Certified Pandas Developer" Certification.
There are two different types of certifications:
- Non-adaptive
- Adaptive
The non-adaptive is pass or no pass.
The adaptive certification is adaptive and graded; students will get a grade from intermediate, advanced to professional.
Are You a Teacher?
Are you interested in learning how you can use W3Schools Academy to Teach Pandas?
Join our upcoming webinar for a guided demo of W3Schools Academy. You'll see how it works, and discover how it can make teaching programming easier and more engaging.
