Python Institute PCED - Certified Entry-Level Data Analyst with Python : PCED-30-02

  • Exam Code: PCED-30-02
  • Exam Name: PCED - Certified Entry-Level Data Analyst with Python
  • Updated: Aug 06, 2026
  • Q & A: 52 Questions and Answers

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About Python Institute PCED - Certified Entry-Level Data Analyst with Python : PCED-30-02 Exam

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Python Institute PCED-30-02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Python Basics for Data Analysis32.5%- File Handling
  • 1. Use the csv module for basic CSV operations
  • 2. Read from and write to files (text, CSV)
- Data Structures
  • 1. Work with lists, tuples, dictionaries, and sets
  • 2. Apply common operations and methods to data structures
- Python Fundamentals
  • 1. Define and use functions
  • 2. Use variables, data types, and basic operators
  • 3. Implement control flow structures (loops, conditionals)
Topic 2: Working with Data and Performing Simple Analyses32.5%- Data Cleaning and Transformation
  • 1. Handle missing and inconsistent data
  • 2. Perform basic data transformation (filtering, sorting, grouping)
- Data Analysis with Python Libraries
  • 1. Utilize the collections module for specialized containers
  • 2. Perform basic operations with NumPy arrays
  • 3. Work with the datetime module for date/time data
  • 4. Use the math and statistics modules for basic calculations
- Simple Analytical Techniques
  • 1. Calculate descriptive statistics (mean, median, mode)
  • 2. Identify basic patterns and trends in data
Topic 3: Introduction to Data and Data Analysis Concepts22.5%- Data Ethics and Privacy
  • 1. Understand basic data privacy concepts
  • 2. Recognize ethical considerations in data handling
- Data Analysis Process and Workflow
  • 1. Describe the steps of the data analysis process
  • 2. Explain the role of data cleaning and preparation
  • 3. Identify common data sources and collection methods
- Define and Classify Data
  • 1. Differentiate structured, semi-structured, and unstructured data
  • 2. Classify data as quantitative or qualitative
  • 3. Explain how data becomes meaningful
Topic 4: Communicating Insights and Reporting12.5%- Data Storytelling and Reporting
  • 1. Structure insights as a narrative
  • 2. Create clear and concise analytical reports
  • 3. Present insights with visual and verbal techniques
- Data Visualization
  • 1. Interpret simple data visualizations
  • 2. Select appropriate visuals for different data types
  • 3. Recognize common visualization types (bar, line, pie charts)

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

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


2. A script defines a variable x = None and checks its truth value using a conditional statement. The developer wants to understand how Python evaluates None in Boolean contexts. What will bool(x) return?

A) Error
B) None
C) True
D) False


3. Below are six possible summaries for your presentation:
- Summary 1: "The data revealed a moderate positive correlation between age and recycling frequency. While 72% of students reported recycling paper regularly, only 39% reported recycling plastic."
- Summary 2: "Analysis showed notable differences in recycling habits by material type, with paper being most recycled and plastic least recycled."
- Summary 3: "Older kids recycled more than younger ones. Paper was the most recycled item- plastic got forgotten a lot."
- Summary 4: "Student responses showed positive environmental habits overall, though participation varied by waste type."
- Summary 5: "A lot of students said they recycle. Some didn't answer every question, so we couldn't figure out everything."
- Summary 6: "We asked more than 300 students about recycling. Most said they recycle paper, but way fewer recycle plastic." Which communication style is the best fit for Group A (data scientists) and Group B (12-year- olds), respectively? Select the best answer.

A) Summary 1 for Group A, Summary 3 for Group B
B) Summary 1 for Group A, Summary 6 for Group B
C) Summary 2 for Group A. Summary 6 for Group B
D) Summary 6 for Group A, Summary 3 for Group B
E) Summary 6 for Group A, Summary 5 for Group B
F) Summary 4 for Group A, Summary 3 for Group B


4. You have a list of test scores, where each entry includes a student name and a score. Some students appear more than once. You want to compute the average score for each student and store the results in a dictionary. Here's the partial code block:

Which code correctly replaces the # MISSING CODE comment to calculate the average score for each student? Select the best answer.

A)

B)

C)

D)


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


Solutions:

Question # 1
Answer: B
Question # 2
Answer: D
Question # 3
Answer: A
Question # 4
Answer: B
Question # 5
Answer: D

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