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Updated: Aug 24, 2026

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Python Institute PCED-30-02 Exam Overview:

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

Python Institute PCED-30-02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Working with Data and Performing Simple Analyses32.5%- Simple Analytical Techniques
  • 1. Calculate descriptive statistics (mean, median, mode)
  • 2. Identify basic patterns and trends in data
- Data Analysis with Python Libraries
  • 1. Use the math and statistics modules for basic calculations
  • 2. Perform basic operations with NumPy arrays
  • 3. Utilize the collections module for specialized containers
  • 4. Work with the datetime module for date/time data
- Data Cleaning and Transformation
  • 1. Handle missing and inconsistent data
  • 2. Perform basic data transformation (filtering, sorting, grouping)
Topic 2: 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
- Define and Classify Data
  • 1. Differentiate structured, semi-structured, and unstructured data
  • 2. Classify data as quantitative or qualitative
  • 3. Explain how data becomes meaningful
- Data Ethics and Privacy
  • 1. Recognize ethical considerations in data handling
  • 2. Understand basic data privacy concepts
Topic 3: Communicating Insights and Reporting12.5%- Data Visualization
  • 1. Interpret simple data visualizations
  • 2. Recognize common visualization types (bar, line, pie charts)
  • 3. Select appropriate visuals for different data types
- Data Storytelling and Reporting
  • 1. Present insights with visual and verbal techniques
  • 2. Create clear and concise analytical reports
  • 3. Structure insights as a narrative
Topic 4: Python Basics for Data Analysis32.5%- Data Structures
  • 1. Apply common operations and methods to data structures
  • 2. Work with lists, tuples, dictionaries, and sets
- File Handling
  • 1. Read from and write to files (text, CSV)
  • 2. Use the csv module for basic CSV operations
- Python Fundamentals
  • 1. Implement control flow structures (loops, conditionals)
  • 2. Define and use functions
  • 3. Use variables, data types, and basic operators

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(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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