PCEP: Python Data Processing
Completed by Lan Anh Nguyen
February 1, 2026
4 hours (approximately)
Lan Anh Nguyen's account is verified. Coursera certifies their successful completion of PCEP: Python Data Processing
What you will learn
Differentiate between primitive Python numeric types, string operators, and various base numeral systems to properly handle user input.
Format floats with specific precision rules and apply advanced string interpolation methods like f-strings to clean output text.
Slicing multidimensional lists, altering mutable or immutable sequences, and evaluating unordered datasets using sets and dictionaries.
Data files for this course are provided in the first course of this specialization, "PCEP: Python Setup".
Skills you will gain
- Category: Python Programming
- Category: Data Processing
- Category: Scripting
- Category: Verification And Validation
- Category: Data Manipulation
- Category: Scripting Languages
- Category: Software Development
- Category: Data Structures
- Category: Computer Programming
- Category: Programming Principles

