Updated: Aug 24, 2026
No. of Questions: 52 Questions & Answers with Testing Engine
Download Limit: Unlimited
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| Certification Vendor: | Python Institute |
| Exam Name: | Certified Entry-Level Data Analyst with Python |
| Exam Number: | PCED-30-02 |
| Exam Price: | $69 USD |
| Passing Score: | 75% |
| Exam Format: | Single-select, Multiple-select |
| Real Exam Qty: | 40 |
| Certificate Validity Period: | Lifetime |
| Exam Duration: | 60 + NDA |
| Available Languages: | English, Spanish |
| Related Certifications: | PCEP PCAD |
| Sample Questions: | Python Institute PCED-30-02 Sample Questions |
| Exam Way: | Online (remote proctored) or at authorized testing centers via TestNow™ platform. |
| Pre Condition: | No formal prerequisites. Recommended: PCEP™ (or equivalent) and foundation in mathematics/statistics. |
| Official Syllabus URL: | https://pythoninstitute.org/pced |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Working with Data and Performing Simple Analyses | 32.5% | - Simple Analytical Techniques
|
| Topic 2: Introduction to Data and Data Analysis Concepts | 22.5% | - Data Analysis Process and Workflow
|
| Topic 3: Communicating Insights and Reporting | 12.5% | - Data Visualization
|
| Topic 4: Python Basics for Data Analysis | 32.5% | - Data Structures
|
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))
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) None
B) False
C) True
D) Error
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. 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 quantitative and unstructured; customer reviews are structured and qualitative; transaction logs are quantitative and unstructured.
B) Product ratings are qualitative and structured; customer reviews are qualitative and unstructured; transaction logs are quantitative and semi-structured.
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 structured; customer reviews are qualitative and unstructured; transaction logs are structured and quantitative
5. How do the analysis and visualization stages of the data lifecycle typically work together?
A) Analysis retrieves raw inputs from dashboards, while visualization uses that input to clean the data.
B) Analysis identifies patterns and insights in processed data, which are then communicated through visualizations for informed decision-making.
C) Analysis produces charts and graphs, while visualization interprets the data to detect outliers.
D) Analysis summarizes archived data, and visualization transforms it into structured tables for storage.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: D | Question # 5 Answer: B |
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