Python Institute PCED-30-02 actual dump : PCED - Certified Entry-Level Data Analyst with Python

PCED-30-02
  • Exam Code: PCED-30-02
  • Exam Name: PCED - Certified Entry-Level Data Analyst with Python
  • Updated: Aug 01, 2026
  • Q & A: 52 Questions and Answers

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Python Institute PCED-30-02 Exam Syllabus Topics:

SectionWeightObjectives
Python Basics for Data Analysis32.5%- Python Fundamentals
  • 1. Define and use functions
  • 2. Implement control flow structures (loops, conditionals)
  • 3. Use variables, data types, and basic operators
- 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
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. Structure insights as a narrative
  • 2. Create clear and concise analytical reports
  • 3. Present insights with visual and verbal techniques
Introduction to Data and Data Analysis Concepts22.5%- 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
- Data Analysis Process and Workflow
  • 1. Identify common data sources and collection methods
  • 2. Explain the role of data cleaning and preparation
  • 3. Describe the steps of the data analysis process
- Data Ethics and Privacy
  • 1. Recognize ethical considerations in data handling
  • 2. Understand basic data privacy concepts
Working with Data and Performing Simple Analyses32.5%- Data Analysis with Python Libraries
  • 1. Work with the datetime module for date/time data
  • 2. Utilize the collections module for specialized containers
  • 3. Use the math and statistics modules for basic calculations
  • 4. Perform basic operations with NumPy arrays
- Data Cleaning and Transformation
  • 1. Perform basic data transformation (filtering, sorting, grouping)
  • 2. Handle missing and inconsistent data
- Simple Analytical Techniques
  • 1. Calculate descriptive statistics (mean, median, mode)
  • 2. Identify basic patterns and trends in data

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

1. You are given two lists representing daily page views and sign-ups on a website:
views = [120, 130, 128, 700, 115, 123, 119, 680, 122]
signups = [12, 15, 13, 50, 11, 14, 10, 55, 13]
You want to:
- remove outliers (views > 600), and
- calculate correlation between the cleaned lists.
Which code accomplishes this correctly? Select the best answer.

A)

B)

C)

D)


2. A program uses while False: followed by print statements inside the loop. The developer expects output. What will actually happen during execution?

A) Infinite loop
B) Prints once
C) Error
D) No execution


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 limits sampling to one demographic, ensuring high-quality data within a specific group.
B) It uses unstructured interviews to validate automated tracking, improving bias detection.
C) It combines automated data collection with representative sampling, reducing the risk of bias.
D) It relies on observational methods, which are more accurate than surveys or sensors.


4. You are given a short Python script that uses both arithmetic and assignment operators. The variable x is initialized as 4, then updated using x *= 2 + 3. What will be printed when the final value of x is displayed?

A) 10
B) 14
C) 20
D) 24


5. The following chart shows how a student spends 24 hours in a day:

Which statements are most accurate? (Choose two.)

A) Commuting is the second most time-consuming activity.
B) Leisure accounts for a moderate portion of the student's daily schedule, larger than commuting but smaller than the time spent at school.
C) Sleep and school take up the majority of time in a day.
D) Leisure and meals combined equal the time spent at school.
E) More time is spent commuting than on leisure.
F) School and homework together take up half of the day's time.


Solutions:

Question # 1
Answer: D
Question # 2
Answer: D
Question # 3
Answer: C
Question # 4
Answer: C
Question # 5
Answer: B,C

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