PCEP - Certified Entry-Level Python Programmer
- Product Code: pcep-30-02
- Exam Questions: 142
- Vendor: python institute
$9.99
$12.99- Updated At: Nov 14, 2024
PCEP - Certified Entry-Level Python Programmer
The PCEP certification is designed for individuals who want to validate their basic understanding of the Python programming language and its applications.
Focus
The PCEP - Certified Entry-Level Python Programmer certification focuses on Python programming language fundamentals, data types, control structures, functions, and file operations.
Exam Duration
The PCEP - Certified Entry-Level Python Programmer exam duration is 90 minutes
Num of Question
The exam contains a total of 50 questions
Exam Fee
The exam fee is Not specified.
Exam Validity
The CCRN-Pediatric certification is valid for Not specified.
Prior Certification
- N/A
Exam Format
The PCEP - Certified Entry-Level Python Programmer exam is a Multiple-choice
Passing Conditions
To pass PCEP - Certified Entry-Level Python Programmer exam, applicants must achieve a minimum score of Passing score is not specified
Who Should Take
Anyone interested in learning the basics of Python programming language and its applications.
- Software developer
- Data analyst
- Data scientist
- Researcher
Prerequisites
No prior work experience is required.
Or can substitute with certifications:
- Not specified
Certification Process
- Step 01: Take a Python programming course or have equivalent knowledge.
- Step 02: Register for the PCEP certification exam through the Python Institute website.
- Step 03: Pass the PCEP certification exam.
Domains with Weights
- Python Programming Fundamentals (40%): Understanding the basics of Python including data types, control structures, functions, and modules.
- Data Analysis and Visualization (30%): Understanding how to work with data in Python including data cleaning, manipulation, and visualization.
- File Operations and Persistence (15%): Understanding how to handle files and data persistence in Python.
- Python Packages and Libraries (15%): Understanding the use of popular Python packages and libraries including NumPy, pandas, and matplotlib.
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