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

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

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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Weight	Objectives
Communicating Insights and Reporting	12.5%	- 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 - Data Visualization 1. Select appropriate visuals for different data types 2. Interpret simple data visualizations 3. Recognize common visualization types (bar, line, pie charts)
Working with Data and Performing Simple Analyses	32.5%	- Data Analysis with Python Libraries 1. Work with the datetime module for date/time data 2. Perform basic operations with NumPy arrays 3. Use the math and statistics modules for basic calculations 4. Utilize the collections module for specialized containers - 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
Introduction to Data and Data Analysis Concepts	22.5%	- Data Ethics and Privacy 1. Recognize ethical considerations in data handling 2. Understand basic data privacy concepts - Data Analysis Process and Workflow 1. Identify common data sources and collection methods 2. Describe the steps of the data analysis process 3. Explain the role of data cleaning and preparation - 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
Python Basics for Data Analysis	32.5%	- File Handling 1. Use the csv module for basic CSV operations 2. Read from and write to files (text, CSV) - 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. Work with lists, tuples, dictionaries, and sets 2. Apply common operations and methods to data structures

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

Question #1

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 qualitative and structured; customer reviews are qualitative and unstructured; transaction logs are quantitative and semi-structured.
B. Product ratings are quantitative and unstructured; customer reviews are structured and qualitative; transaction logs are quantitative and unstructured.
C. Product ratings are quantitative and structured; customer reviews are qualitative and unstructured; transaction logs are structured and quantitative
D. Product ratings are qualitative and unstructured; customer reviews are quantitative and structured; transaction logs are semi-structured and qualitative.

Reveal Solution Discussion 0

Correct Answer: C 🗳️