OpenExamsFREE PRACTICE — ANY EXAM

PCED™ – Certified Entry-Level Data Analyst with Python — Requirements & Free Practice

US · License preparation

100 free questions · Answer explanations · No signup required

Choose what to practice

Start with an exam below. Your examination requirements depend on your application pathway. View licensing requirements

Loading selected examination banks…

Licenses, application pathways and examination requirements

Each license and applicant pathway has its own requirements and exemptions. Choosing practice questions does not determine your eligibility.

PCED™ – Certified Entry-Level Data Analyst with Python

An entry-level certification validating foundational Python data collection, cleaning, transformation, analysis, ethics, visualization and communication skills.

Licensing authority: OpenEDG Python Institute

Initial by examination
PCED – Certified Entry-Level Data Analyst with Python
Accommodations
Special conditions require advance approval by Python Institute.
Assessment
Pass the current PCED-30-02 examination with a cumulative average of at least 75%; preliminary scores become final only after the session passes verification.
Credential Validity
The official PCED information lists seven-year certification validity; no individual holder expiry or original certification-program effective date is inferred.
Eligibility
No formal examination prerequisites; PCEP or equivalent knowledge and mathematics/statistics are recommended, not mandatory prior certifications. Children under 13 cannot test or receive certification; ages 13–17 require parental or legal-guardian consent; adults have no age-related restriction. Additional local data-protection restrictions may apply.
Historical Boundary
PCED-30-01 is explicitly discontinued and retired July 14, 2025, with redemption of already-issued vouchers preserved in the current notice. That limited existing-voucher concession is retained as a condition and is outside this task's non-historical current-version production scope; it does not require inventing a new live version or investigating the retired outline.
Retakes
A failed PCED attempt has a seven-day waiting period; a new voucher may be needed, and failed-exam retakes are not numerically limited.
Scheduling
The global TestNow mode is on demand, with no advance scheduling required and same-day registration/testing available. A Test Candidate account, valid voucher, equipment diagnostics, check-in, Code of Conduct agreement, NDA and Testing Policies acceptance are required. A local partner session requires proctor authorization, identity verification and the applicable facility appointment; contact the facility at least 24 hours before rescheduling. An unredeemed, unexpired global voucher can be used later without rescheduling.
Source Claim Ids
["pced-initial-route-adoption","pced-30-02-registration","pced-30-02-assessment","pced-credential-authority"]

PCED – Certified Entry-Level Data Analyst with Python

Provider
OpenEDG Testing Service – TestNow™
Format
Proctored single- and multiple-select questions, including scenario-based items; each item is worth at most one point and the raw score is normalized to a percentage.
Exam questions
Total questions: 40.
Time limit
60 minutes + NDA
Passing score
75% cumulative average across all exam blocks
Exam fee
Exam – from $69
Examination outline
  • Introduction to Data and Data Analysis Concepts (22.5%)
    • Define and Classify Data
    • Describe Data Sources, Collection Methods, and Storage
    • Explain the Data Lifecycle and Its Management
    • Understand the Scope of Data Science, Analytics, and Analysis
    • Identify Ethical and Legal Considerations in Data Analytics
  • Python Basics for Data Analysis (32.5%)
    • Work with Variables and Data Types
    • Use Python Data Collections and Sequences
    • Use Functions and Handle Exceptions
    • Control Program Flow with Conditionals and Loops
    • Use Modules and Packages
  • Working with Data and Performing Simple Analyses (32.5%)
    • Read and Write Data Using Files
    • Clean and Prepare Data for Analysis
    • Perform Basic Analytical Computations
    • Conduct Basic Exploratory Data Analysis (EDA)
  • Communicating Insights and Reporting (12.5%)
    • Understand Basic Principles of Data Visualization
    • Apply Fundamentals of Data Storytelling
    • Create Clear and Concise Analytical Reports
    • Communicate Insights Effectively in Presentations
Examination sources