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

  • 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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Python Institute PCED-30-02 Exam Syllabus Topics:

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

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

1. A program uses while False: followed by print statements inside the loop. The developer expects output. What will actually happen during execution?

A) No execution
B) Error
C) Prints once
D) Infinite loop


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. 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)


4. A Python script evaluates the expression len(" "). The programmer assumes it might be zero because it looks empty. What will the actual result be?

A) 0
B) Error
C) None
D) 1


5. A programmer writes a script to test operator precedence using the expression 3 + 4 * 2 ** 2. The goal is to evaluate the result correctly based on Python's operator hierarchy rules. What result should the script produce?

A) 28
B) 35
C) 19
D) 49


Solutions:

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

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