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Python Institute Python Institute PCED PCED-30-02

PCED-30-02

Exam Code: PCED-30-02

Exam Name: PCED - Certified Entry-Level Data Analyst with Python

Updated: Oct 07, 2026

Q & A: 52 Questions and Answers

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Python Institute PCED-30-02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Python Basics for Data Analysis32.5%- Built-in modules for data work
  • 1. math, statistics, datetime, collections, csv
- Control flow and functions
  • 1. Conditional statements, loops, iteration
  • 2. Basic exception handling
  • 3. Defining and calling functions, parameters, return values
- Core Python syntax and data types
  • 1. Lists, tuples, sets, dictionaries
  • 2. Variables, numbers, strings, booleans
- Introduction to NumPy
  • 1. Arrays, basic operations, indexing, slicing
Topic 2: Working with Data and Performing Simple Analysis25%- Data cleaning and preparation
  • 1. Filtering, sorting, transforming data
  • 2. Handling missing values, duplicates, and errors
  • 3. Formatting and standardizing values
- Data acquisition and loading
  • 1. Importing data from external sources
  • 2. Reading text, CSV, and structured files
- Exploratory data analysis
  • 1. Identifying patterns, trends, and outliers
  • 2. Calculating mean, median, mode, range, variance, standard deviation
- Data aggregation and grouping
  • 1. Summarizing and grouping datasets
Topic 3: Data Visualization and Communication20%- Interpreting and presenting results
  • 1. Deriving conclusions and insights
  • 2. Reporting findings clearly and concisely
- Principles of effective data visualization
  • 1. Choosing appropriate chart types
  • 2. Clarity, simplicity, and accuracy
- Creating basic visualizations
  • 1. Line charts, bar charts, histograms, pie charts
  • 2. Using text and simple plotting tools
Topic 4: Introduction to Data and Data Analysis Concepts22.5%- Data types and measurement scales
  • 1. Nominal, ordinal, interval, ratio scales
  • 2. Qualitative vs quantitative data
- Basic statistical concepts
  • 1. Population, sample, variable, observation
  • 2. Descriptive vs inferential statistics
- Definition and classification of data
  • 1. Process of turning raw data into insights
  • 2. Role of data in decision-making and business
  • 3. Difference between data, information, and knowledge
- Data lifecycle and ethical considerations
  • 1. Privacy, security, bias, and fairness in data
  • 2. Data collection, storage, processing, usage, and sharing

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

Question #1
A data analyst exports a cleaned dataset from Python and wants to share it with a colleague for easy use in Excel.
Which file format is best suited for this purpose? Select the best answer.

A. CSV, because it stores tabular data in plain text and is compatible with spreadsheet applications.
B. JSON, because it stores hierarchical data and is designed for visual presentation in Excel.
C. XML, because it automatically preserves spreadsheet formatting and charts.
D. SQL, because it directly converts tabular data into database tables that Excel can open.


Question #2
The following chart shows how a student spends 24 hours in a day:

Which statements are most accurate? (Choose two.)

A. School and homework together take up half of the day's time.
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. More time is spent commuting than on leisure.
D. Commuting is the second most time-consuming activity.
E. Leisure and meals combined equal the time spent at school.
F. Sleep and school take up the majority of time in a day.


Question #3
A government agency collects citizen data for various public services.
What is the primary reason for emphasizing careful data management throughout the entire data lifecycle in this context? Select the best answer.

A. To guarantee the long-term availability and integrity of crucial citizen datasets for future policy formulation and evaluation.
B. To enable seamless sharing of anonymized citizen information with other governmental bodies for collaborative initiatives.
C. To uphold data quality for effective service delivery, safeguard citizen privacy and prevent misuse, and comply with data protection laws.
D. To streamline the initial capture of citizen details and minimize the administrative burden on both staff and the public.


Question #4
A script defines a variable x = None and checks its truth value using a conditional statement. The developer wants to understand how Python evaluates None in Boolean contexts. What will bool(x) return?

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


Question #5
A programmer writes a script to test operator precedence using the expression 3 + 4 * 2 ** 2. The goal is to evaluate the result correctly based on Python's operator hierarchy rules. What result should the script produce?

A. 19
B. 49
C. 35
D. 28


Solutions:

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

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