In this course, you'll continue developing your Python skills by processing simple data types like integers and strings. You'll also process more complex data structures like lists, sets, and dictionaries.

PCEP: Python Data Processing

PCEP: Python Data Processing
This course is part of Certified Entry-Level Python Programmer (PCEP) Specialization

Instructor: Bill Rosenthal
Access provided by Tata Steel Learning and Development
What you'll learn
In this course, you will process simple data types and data structures in Python.
Skills you'll gain
Details to know

Add to your LinkedIn profile
1 assignment
January 2026
See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise
- 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 3 modules in this course
In any programming language, knowing how to work with data types is essential. Not all data types are the same, and being able to recognize what you can and can't do with each will help you make the most of your Python® code.
What's included
1 reading5 plugins
You've processed simple data types, but Python® also supports more complex data structures. These data structures make almost any application, no matter how large and complex, much more powerful and easy to write.
What's included
5 plugins
You'll wrap things up and then validate what you've learned in this course by taking an 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.
Instructor

Offered by
Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
Explore more from Computer Science

Logical Operations

Logical Operations

Logical Operations

University of Michigan

