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: Oct 05, 2026
  • Q & A: 52 Questions and Answers

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Python Institute PCED-30-02 Exam Syllabus Topics:

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

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

Question #1

A Python loop uses range(5, 0, -2) to iterate backward. The programmer expects a decreasing sequence. Which values will actually be generated when this loop runs?

  • A. 5, 4, 3, 2, 1
  • B. 5, 3, 1
  • C. 4, 2, 0
  • D. 5, 3
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #2

A Python developer is testing truth values of different data types using the bool() function. The expression bool([0]) is evaluated in the script. What result should be expected when this expression is printed?

  • A. True
  • B. None
  • C. False
  • D. Error
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #3

A Python script includes the expression not False and True. The developer is unsure how logical operators are evaluated in terms of precedence. What will be the final Boolean result of this expression?

  • A. True
  • B. None
  • C. False
  • D. Error
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #4

An online retailer collects customer reviews, order transaction logs, and product ratings.
Which of the following correctly classifies these types of data? Select the best answer.

  • A. Product ratings are qualitative and structured; customer reviews are qualitative and unstructured; transaction logs are quantitative and semi-structured.
  • B. Product ratings are quantitative and structured; customer reviews are qualitative and unstructured; transaction logs are structured and quantitative
  • C. Product ratings are qualitative and unstructured; customer reviews are quantitative and structured; transaction logs are semi-structured and qualitative.
  • D. Product ratings are quantitative and unstructured; customer reviews are structured and qualitative; transaction logs are quantitative and unstructured.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #5

You have collected sales data and want to compute the average using the NumPy library.
Which option correctly shows how to install NumPy and use it in your code to perform this task?

  • A. To install NumPy:
    pip install numpy
    Then run this code:
    import numpy as np
    data = numpy.arr([10, 20, 30])
    print(numpy.mean(data))
  • B. To install NumPy:
    from pip install numpy
    Then run this code:
    import numpy as np
    data = np.array([10, 20, 30])
    print(np.mean(data))
  • C. To install NumPy:
    pip install numpy as np
    Then run this code:
    import np
    data = np.array([10, 20, 30])
    print(np.mean(data))
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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