Python Libraries and Data Structures

This course builds on your Python foundation by introducing essential data structures and widely used libraries. The course also covers fundamental libraries such as NumPy for numerical operations, Pandas for data manipulation, and Matplotlib for visualization. With hands-on practice, you’ll learn to handle structured data, work with libraries, and prepare for advanced domains like data science, AI, and machine learning.
5
12000+
Students
16 hours
3 Modules

What You'll Learn

Learn core data structures for efficient Python programming
Master lists, tuples, sets, and dictionaries with examples
Explore NumPy for high-performance numerical data operations
Manipulate datasets using Pandas for analysis and reporting
Manipulate datasets using Pandas for analysis and reporting

Tools & Skills Covered

Python Data Structures
NumPy Library
Pandas Library
Matplotlib Visualization
Data Handling in Python
FREE
Full lifetime access
Student Enrolled:
12000+
Duration:
16 hours
Level:
Intermediate
Modules:
3 Modules
Sub Modules:
6 Sub Modules
Certificate:
Included

Course Curriculum

3 Modules
|
6 Sub Modules
|
16 hours
1

2

3

4

5

Certify Your Skills

Upon completing this course, you will get a certification from keySkillset. You can flaunt your skills with this
certificate by adding it to your resume, LinkedIn profile, or portfolio.

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Frequently Asked Questions

Do I need Python basics before taking this course?

Which libraries will I learn in detail?

Are these skills useful for data science?

Will I practice with real datasets

Can I use these libraries outside of data science?