In this course, you’ll explore data structures in Python, which are methods of storing and organizing data in a computer. You’ll focus on data structures that are among the most useful for data professionals: lists, tuples, dictionaries, sets, and arrays. You’ll also discover how to categorize data using data loading, cleaning, and binning. Lastly, you’ll learn about two of the most widely used and important Python tools for advanced data analysis: NumPy and pandas.
Data Structures in Python
Data Structures in Python
This course is part of Google Data Analysis with Python Specialization
Instructor: Google Career Certificates
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Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
6 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Use core NumPy and pandas data structures to store and organize data
Define Python tools such as libraries, packages, modules, and global variables
Describe the main features and methods of built-in Python data structures such as lists, tuples, dictionaries, and sets
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
5 assignments
Taught in English
Recently updated!
September 2025
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This course is part of the Google Data Analysis with Python Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 5 modules in this course
In this module, you will explore data structures in Python, which are methods of storing and organizing data in a computer. You’ll focus on lists and tuples, data structures that are among the most useful for data professionals.
What's included
5 videos3 readings1 assignment3 ungraded labs
In this module, you will focus on dictionaries and sets, some more data structures that are among the most useful for data professionals.
What's included
3 videos2 readings1 assignment2 ungraded labs
In this module, you will focus on arrays. You’ll learn about one of the most widely used and important Python tools for advanced data analysis: NumPy.
What's included
3 videos3 readings1 assignment2 ungraded labs
In this module, you will learn about one of the most widely used and important Python tools for advanced data analysis: pandas. You’ll also discover how to categorize data using data loading, cleaning, and binning.
What's included
5 videos3 readings1 assignment2 ungraded labs
Review everything you’ve learned and take the final assessment.
What's included
1 reading1 assignment
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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