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Updated: Aug 15, 2026

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Python Institute PCED-30-02 Exam Overview:

Certification Vendor:Python Institute (OpenEDG)
Exam Name:PCED™ – Certified Entry-Level Data Analyst with Python
Exam Number:PCED-30-02
Certificate Validity Period:Lifetime
Related Certifications:PCEP™ – Certified Entry-Level Python Programmer
PCAP™ – Certified Associate in Python Programming
Exam Price:USD 69
Exam Format:Single-select questions, Multiple-select questions
Exam Duration:60 minutes
Available Languages:English, Spanish
Passing Score:70%
Real Exam Qty:40
Recommended Training:Python for Data Analytics 101 (PD101)
PCED Official Study Materials
Exam Registration:Official Registration Page
Sample Questions:Python Institute PCED-30-02 Sample Questions
Exam Way:Online proctored exam via OpenEDG TestNow™ platform
Pre Condition:No formal prerequisites; basic familiarity with Python or programming recommended
Official Syllabus URL:https://pythoninstitute.org/pced-exam-syllabus

Python Institute PCED-30-02 Exam Syllabus Topics:

SectionWeightObjectives
Introduction to Data and Data Analysis Concepts22.5%- Data types and measurement scales
  • 1. Qualitative vs quantitative data
  • 2. Nominal, ordinal, interval, ratio scales
- Data lifecycle and ethical considerations
  • 1. Privacy, security, bias, and fairness in data
  • 2. Data collection, storage, processing, usage, and sharing
- Definition and classification of data
  • 1. Difference between data, information, and knowledge
  • 2. Process of turning raw data into insights
  • 3. Role of data in decision-making and business
- Basic statistical concepts
  • 1. Descriptive vs inferential statistics
  • 2. Population, sample, variable, observation
Python Basics for Data Analysis32.5%- Introduction to NumPy
  • 1. Arrays, basic operations, indexing, slicing
- Core Python syntax and data types
  • 1. Variables, numbers, strings, booleans
  • 2. Lists, tuples, sets, dictionaries
- Control flow and functions
  • 1. Conditional statements, loops, iteration
  • 2. Basic exception handling
  • 3. Defining and calling functions, parameters, return values
- Built-in modules for data work
  • 1. math, statistics, datetime, collections, csv
Working with Data and Performing Simple Analysis25%- Data aggregation and grouping
  • 1. Summarizing and grouping datasets
- Data acquisition and loading
  • 1. Reading text, CSV, and structured files
  • 2. Importing data from external sources
- Data cleaning and preparation
  • 1. Formatting and standardizing values
  • 2. Filtering, sorting, transforming data
  • 3. Handling missing values, duplicates, and errors
- Exploratory data analysis
  • 1. Calculating mean, median, mode, range, variance, standard deviation
  • 2. Identifying patterns, trends, and outliers
Data Visualization and Communication20%- Creating basic visualizations
  • 1. Using text and simple plotting tools
  • 2. Line charts, bar charts, histograms, pie charts
- Interpreting and presenting results
  • 1. Deriving conclusions and insights
  • 2. Reporting findings clearly and concisely
- Principles of effective data visualization
  • 1. Clarity, simplicity, and accuracy
  • 2. Choosing appropriate chart types

Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:

1. A variable is assigned using chained assignment: a = b = c = 10. The developer then changes b =
5. What will be the value of a after this operation?

A) Error
B) 10
C) 5
D) None


2. You want to safely read the contents of a file named records.txtand store them in a list. Your requirements are:
- The file should be automatically closed after reading,
- The code should check whether the file exists before opening it, and
- It should handle missing file errors gracefully.
Which of the following is the most appropriate way to accomplish this task in Python? Select the best answer.

A)

B)

C)

D)


3. A financial technology company is reviewing its data practices to ensure legal and ethical compliance.
Which of the following actions would support responsible data handling and align with regulations like GDPR, HIPAA, and CCPA? (Choose two.)

A) Limiting data access only to marketing staff to streamline personalization.
B) Retaining user data permanently unless users explicitly request deletion.
C) Providing users with a clear explanation of how their data is used and obtaining explicit consent.
D) Automatically opting users into data sharing unless they manually change settings.
E) Implementing encryption for both stored and transmitted customer data.


4. An e-commerce site records every product view and purchase.
Which of the following best describes how these logs become marketing insights?

A) Raw event logs are validated, organized, and compiled into datasets - like timestamped user actions - which then support system debugging.
B) Raw event logs are filtered, aggregated, and formatted into summaries - like total visits per category - which then provide traffic reports.
C) Raw event logs are stored, archived, and indexed - like by user ID and session - which then facilitate audit trails.
D) Raw event logs are structured, analyzed, and interpreted into information - like conversion rates by product - which then builds knowledge of customer preferences.


5. You are reviewing a report that compares the number of weekly client meetings and project completion rates across teams. The table below summarizes the data for each team:

Which statement best describes the data shown above? Select the best answer.

A) The more meetings a team had, the more projects they finished, especially in high-performing teams like Omega and Delta."
B) "Teams with 5-6 weekly meetings tended to complete more projects than those with very high or very low meeting counts."
C) "Gamma and Omega were outliers that inflated the meeting average, but most teams finished about 3 projects per month."
D) "Project completion numbers were nearly identical across all teams, averaging 3.25 per month."


Solutions:

Question # 1
Answer: B
Question # 2
Answer: B
Question # 3
Answer: C,E
Question # 4
Answer: D
Question # 5
Answer: B

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