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

Exam Code: PCED-30-02
Exam Name: PCED - Certified Entry-Level Data Analyst with Python
Updated: Oct 09, 2026
Q & A: 52 Questions and Answers

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

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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Weight	Objectives
Introduction to Data and Data Analysis Concepts	22.5%	- 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 - 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 Ethics and Privacy 1. Understand basic data privacy concepts 2. Recognize ethical considerations in data handling
Working with Data and Performing Simple Analyses	32.5%	- Data Analysis with Python Libraries 1. Use the math and statistics modules for basic calculations 2. Utilize the collections module for specialized containers 3. Work with the datetime module for date/time data 4. Perform basic operations with NumPy arrays - Data Cleaning and Transformation 1. Handle missing and inconsistent data 2. Perform basic data transformation (filtering, sorting, grouping) - Simple Analytical Techniques 1. Calculate descriptive statistics (mean, median, mode) 2. Identify basic patterns and trends in data
Python Basics for Data Analysis	32.5%	- 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. Use variables, data types, and basic operators 2. Implement control flow structures (loops, conditionals) 3. Define and use functions
Communicating Insights and Reporting	12.5%	- Data Storytelling and Reporting 1. Present insights with visual and verbal techniques 2. Structure insights as a narrative 3. Create clear and concise analytical reports - Data Visualization 1. Recognize common visualization types (bar, line, pie charts) 2. Select appropriate visuals for different data types 3. Interpret simple data visualizations

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

Question #1

A program compares two values using == and is. The variables a = 256 and b = 256 are defined.
What is the expected result of a is b in most Python implementations?

A. False
B. None
C. Error
D. True

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Correct Answer: D 🗳️

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Question #2

You are writing a function to validate battery voltage readings. The rules are:
- If the reading is "MISSING"or None, return "Missing".
- If the value is below 2.5or above 4.2, return "Outlier".
Otherwise, return "Normal".
Which version correctly implements this logic using the most robust conditional and nested structures? Select the best answer.

Reveal Solution Discussion 0

Correct Answer: A 🗳️

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Question #3

You want to safely read the contents of a file named records.txtand store them in a list. Your requirements are:
- The file should be automatically closed after reading,
- The code should check whether the file exists before opening it, and
- It should handle missing file errors gracefully.
Which of the following is the most appropriate way to accomplish this task in Python? Select the best answer.

Reveal Solution Discussion 0

Correct Answer: D 🗳️

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Question #4

You are creating a presentation slide to communicate findings about student stress levels across four categories over a six-month period. You include the following line graph in your presentation:

Your goal is to help your audience clearly understand trends in stress levels over time.
What is the highest problem with this visual presentation? Select the best answer.

A. The chart should be in 3D format to show depth and highlight differences more clearly.
B. The graph doesn't explain what each stress level means or show exact values for each month, which limits interpretation.
C. The months should be replaced with week numbers to provide more detailed insight.
D. The font used in the chart is hard to read; using larger, uppercase text would improve clarity.
E. The lines are too light and similar in color, making it difficult to distinguish between trends.

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Correct Answer: E 🗳️

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Question #5

Consider a Python program that assigns a string value "5" to a variable and then attempts to multiply it by an integer 3. The programmer expects numeric multiplication. What will actually happen when the code is executed?

A. "555"
B. Error
C. 8
D. 15

Reveal Solution Discussion 0

Correct Answer: A 🗳️

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

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

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