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Python Institute PCED-30-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Python Basics for Data Analysis | 32.5% | - Built-in modules for data work
|
| Data Visualization and Communication | 20% | - Interpreting and presenting results
|
| Working with Data and Performing Simple Analysis | 25% | - Data acquisition and loading
|
| Introduction to Data and Data Analysis Concepts | 22.5% | - Data lifecycle and ethical considerations
|
Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:
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(statistics.stdev(steps))
print(round(math.mean(steps)))
print(math.median(steps))
import statistics
B) import math
print(math.stdev(steps))
print(statistics.mean(steps))
print(statistics.median(steps))
import statistics
C) import math
print(statistics.variance(steps))
print(math.ceil(sum(steps) / len(steps)))
print(math.floor(statistics.median(steps)))
import statistics
D) import math
print(statistics.stdev(steps))
print(math.ceil(statistics.mean(steps)))
print(statistics.median(steps))
2. A healthcare provider analyzes patient records to determine that appointment cancellations spike during weather alerts and flu season.
What type of analytics is this?
A) Descriptive analytics - it reports appointment numbers across past seasons.
B) Prescriptive analytics - it automates patient rescheduling based on cancellation patterns.
C) Diagnostic analytics - it identifies reasons behind patterns in patient behavior.
D) Predictive analytics - it uses weather and illness trends to forecast future cancellations.
3. A health researcher uses wearable devices to record physical activity and sends a survey to randomly selected participants across age groups.
Why can this approach be effective? Select the best answer.
A) It relies on observational methods, which are more accurate than surveys or sensors.
B) It limits sampling to one demographic, ensuring high-quality data within a specific group.
C) It uses unstructured interviews to validate automated tracking, improving bias detection.
D) It combines automated data collection with representative sampling, reducing the risk of bias.
4. 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) Providing users with a clear explanation of how their data is used and obtaining explicit consent.
B) Automatically opting users into data sharing unless they manually change settings.
C) Implementing encryption for both stored and transmitted customer data.
D) Retaining user data permanently unless users explicitly request deletion.
E) Limiting data access only to marketing staff to streamline personalization.
5. Given the following string:
text = "Report2024Final"
Which of the following statements are entirely correct? (Choose two.)
A) text[0:6].isalpha() returns True, and text.find("2024") returns 6
B) text.isalpha()returns True, and text.find ("2024")returns True
C) text[6:8].isdigit()returns True, and text.endswith("Final")returns True
D) text[-6].isdigit() returns True, text.startswith("r") returns True
E) text.capitalize()changes Finalto lowercase, and text.find ("L")returns True
F) text.capitalize()changes Report2024Finalto REPORT2024FINAL, and text.find("2024")returns 6
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: A,C | Question # 5 Answer: A,C,E |






