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

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

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Python Institute PCED-30-02 Exam Syllabus Topics:

SectionObjectives
Basic Statistics for Data Analysis- Descriptive statistics
  • 1. Variance and standard deviation
    • 2. Mean, median, mode
      Python Programming Fundamentals- Basic syntax and data types
      • 1. Variables and operators
        • 2. Control flow basics
          Data Handling and Processing with Python- Data manipulation libraries
          • 1. NumPy basics
            • 2. Pandas fundamentals
              - Working with data structures
              • 1. Lists, tuples, dictionaries
                • 2. Iterating and transformations
                  Data Analysis and Visualization- Data cleaning and preprocessing
                  • 1. Data transformation techniques
                    • 2. Missing values handling
                      - Data visualization
                      • 1. Plot interpretation
                        • 2. Matplotlib basics

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

                          Question #1

                          You are given the following list of daily step counts:
                          steps = [8230, 9020, 7640, 8760, 10020, 2546, 9817]
                          Your task is to calculate:
                          - the standard deviation of the step counts,
                          - the average rounded up to the nearest whole number, and
                          - the median of the step counts.
                          Which code snippet correctly performs all three tasks? Select the best answer.
                          import statistics

                          • A. import math
                            print(math.stdev(steps))
                            print(statistics.mean(steps))
                            print(statistics.median(steps))
                            import statistics
                          • B. import math
                            print(statistics.variance(steps))
                            print(math.ceil(sum(steps) / len(steps)))
                            print(math.floor(statistics.median(steps)))
                            import statistics
                          • C. import math
                            print(statistics.stdev(steps))
                            print(round(math.mean(steps)))
                            print(math.median(steps))
                            import statistics
                          • D. import math
                            print(statistics.stdev(steps))
                            print(math.ceil(statistics.mean(steps)))
                            print(statistics.median(steps))
                          Reveal Solution  Discussion  0

                          Correct Answer: D  🗳️

                          Explanation: Only visible for VCEPrep members. You can sign-up / login (it's free).

                          Question #2

                          You are analyzing survey results from students about their favorite colors. The list colorsstores individual responses:

                          You want to:
                          - find the number of unique colors mentioned using NumPy, and
                          - determine how often each color was chosen using Counter.
                          Which code snippet correctly performs both tasks? Select the best answer.
                          from numpy import unique

                          • A. from collections import Counter
                            unique_colors = len(unique(colors))
                            color_counts = Counter(colors)
                            import numpy as np
                          • B. from collections import Counter
                            unique_colors = Counter(colors)
                            color_counts = sum(np.unique(colors))
                            import numpy as np
                          • C. from collections import Counter
                            unique_colors = len(set(colors))
                            color_counts = np.unique(colors)
                          • D. from collections import Counter
                            unique_colors = np.unique(colors)
                            color_counts = Counter(set(colors))
                            import numpy as np
                          Reveal Solution  Discussion  0

                          Correct Answer: A  🗳️

                          Explanation: Only visible for VCEPrep members. You can sign-up / login (it's free).

                          Question #3

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

                          Correct Answer: C  🗳️

                          Explanation: Only visible for VCEPrep members. You can sign-up / login (it's free).

                          Question #4

                          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. False
                          • C. None
                          • D. Error
                          Reveal Solution  Discussion  0

                          Correct Answer: A  🗳️

                          Explanation: Only visible for VCEPrep members. You can sign-up / login (it's free).

                          Question #5

                          A dictionary is defined as d = {"a":1, "b":2}. The programmer accesses d["c"]. What happens when this line executes?

                          • A. Returns 0
                          • B. Adds key automatically
                          • C. Returns None
                          • D. Raises KeyError
                          Reveal Solution  Discussion  0

                          Correct Answer: D  🗳️

                          Explanation: Only visible for VCEPrep members. You can sign-up / login (it's free).

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