Python Institute : PCED-30-02 Questions & Answers

Last Updated: Aug 22, 2026

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Python Institute PCED-30-02 Exam Syllabus Topics:

SectionWeightObjectives
Python Basics for Data Analysis32.5%- Control flow and functions
  • 1. Basic exception handling
  • 2. Defining and calling functions, parameters, return values
  • 3. Conditional statements, loops, iteration
- Core Python syntax and data types
  • 1. Variables, numbers, strings, booleans
  • 2. Lists, tuples, sets, dictionaries
- Built-in modules for data work
  • 1. math, statistics, datetime, collections, csv
- Introduction to NumPy
  • 1. Arrays, basic operations, indexing, slicing
Data Visualization and Communication20%- Interpreting and presenting results
  • 1. Deriving conclusions and insights
  • 2. Reporting findings clearly and concisely
- Creating basic visualizations
  • 1. Line charts, bar charts, histograms, pie charts
  • 2. Using text and simple plotting tools
- Principles of effective data visualization
  • 1. Clarity, simplicity, and accuracy
  • 2. Choosing appropriate chart types
Working with Data and Performing Simple Analysis25%- Data aggregation and grouping
  • 1. Summarizing and grouping datasets
- Data acquisition and loading
  • 1. Reading text, CSV, and structured files
  • 2. Importing data from external sources
- Exploratory data analysis
  • 1. Calculating mean, median, mode, range, variance, standard deviation
  • 2. Identifying patterns, trends, and outliers
- Data cleaning and preparation
  • 1. Handling missing values, duplicates, and errors
  • 2. Filtering, sorting, transforming data
  • 3. Formatting and standardizing values
Introduction to Data and Data Analysis Concepts22.5%- Data lifecycle and ethical considerations
  • 1. Privacy, security, bias, and fairness in data
  • 2. Data collection, storage, processing, usage, and sharing
- Basic statistical concepts
  • 1. Descriptive vs inferential statistics
  • 2. Population, sample, variable, observation
- Data types and measurement scales
  • 1. Nominal, ordinal, interval, ratio scales
  • 2. Qualitative vs quantitative data
- Definition and classification of data
  • 1. Role of data in decision-making and business
  • 2. Process of turning raw data into insights
  • 3. Difference between data, information, and knowledge

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

1. 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


2. You are reviewing a report that compares the number of weekly client meetings and project completion rates across teams. The table below summarizes the data for each team:

Which statement best describes the data shown above? Select the best answer.

A) The more meetings a team had, the more projects they finished, especially in high-performing teams like Omega and Delta."
B) "Teams with 5-6 weekly meetings tended to complete more projects than those with very high or very low meeting counts."
C) "Project completion numbers were nearly identical across all teams, averaging 3.25 per month."
D) "Gamma and Omega were outliers that inflated the meeting average, but most teams finished about 3 projects per month."


3. A variable is assigned using chained assignment: a = b = c = 10. The developer then changes b =
5. What will be the value of a after this operation?

A) 5
B) 10
C) None
D) Error


4. What will be the output of the following code?

A) 5 5
B) 5 10
C) 10 5
D) 10 10


5. A financial technology company is reviewing its data practices to ensure legal and ethical compliance.
Which of the following actions would support responsible data handling and align with regulations like GDPR, HIPAA, and CCPA? (Choose two.)

A) Implementing encryption for both stored and transmitted customer data.
B) Limiting data access only to marketing staff to streamline personalization.
C) Providing users with a clear explanation of how their data is used and obtaining explicit consent.
D) Automatically opting users into data sharing unless they manually change settings.
E) Retaining user data permanently unless users explicitly request deletion.


Solutions:

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

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