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Download Python Institute : PCED-30-02 Questions & Answers as PDF & Test Software

Last Updated: Aug 20, 2026

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Python Institute PCED-30-02 Exam Syllabus Topics:

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

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

1. A loop is designed using range(1, 6, 2) to iterate through numbers. The developer wants to know exactly which values will be generated during execution. Which sequence correctly represents the values produced?

A) 2, 4, 6
B) 1, 3
C) 1, 2, 3, 4, 5
D) 1, 3, 5


2. 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.

A)

B)

C)

D)


3. Which of the following code snippets will output Truefor both printfunctions by correctly identifying the type of each variable and performing valid operations?

A)

B)

C)

D)


4. 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.

A)

B)

C)

D)


5. A healthcare provider analyzes patient records to determine that appointment cancellations spike during weather alerts and flu season.
What type of analytics is this?

A) Predictive analytics - it uses weather and illness trends to forecast future cancellations.
B) Prescriptive analytics - it automates patient rescheduling based on cancellation patterns.
C) Descriptive analytics - it reports appointment numbers across past seasons.
D) Diagnostic analytics - it identifies reasons behind patterns in patient behavior.


Solutions:

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

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