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.
12 reviews
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
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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.
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