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 Barbados NTI

3 modules

Gain insight into a topic and learn the fundamentals.

4 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

4 hours to complete

Flexible schedule

Learn at your own pace

What you'll 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'll gain

Tools you'll learn

Python Programming

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

1 assignment

Taught in English

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Build your subject-matter expertise

This course is part of the Certified Entry-Level Python Programmer (PCEP) 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 3 modules in this course

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.

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.