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

  • Exam Code: PCED-30-02
  • Exam Name: PCED - Certified Entry-Level Data Analyst with Python
  • Updated: Jul 27, 2026
  • Q & A: 52 Questions and Answers

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Python Institute PCED-30-02 Exam Syllabus Topics:
SectionWeightObjectives
Topic 1: Introduction to Data and Data Analysis Concepts22.5%- Data types and measurement scales
  • 1. Qualitative vs quantitative data
  • 2. Nominal, ordinal, interval, ratio scales
- Definition and classification of data
  • 1. Difference between data, information, and knowledge
  • 2. Process of turning raw data into insights
  • 3. Role of data in decision-making and business
- Basic statistical concepts
  • 1. Population, sample, variable, observation
  • 2. Descriptive vs inferential statistics
- Data lifecycle and ethical considerations
  • 1. Privacy, security, bias, and fairness in data
  • 2. Data collection, storage, processing, usage, and sharing
Topic 2: Python Basics for Data Analysis32.5%- Core Python syntax and data types
  • 1. Variables, numbers, strings, booleans
  • 2. Lists, tuples, sets, dictionaries
- Control flow and functions
  • 1. Basic exception handling
  • 2. Defining and calling functions, parameters, return values
  • 3. Conditional statements, loops, iteration
- Introduction to NumPy
  • 1. Arrays, basic operations, indexing, slicing
- Built-in modules for data work
  • 1. math, statistics, datetime, collections, csv
Topic 3: Data Visualization and Communication20%- Interpreting and presenting results
  • 1. Deriving conclusions and insights
  • 2. Reporting findings clearly and concisely
- Creating basic visualizations
  • 1. Using text and simple plotting tools
  • 2. Line charts, bar charts, histograms, pie charts
- Principles of effective data visualization
  • 1. Clarity, simplicity, and accuracy
  • 2. Choosing appropriate chart types
Topic 4: Working with Data and Performing Simple Analysis25%- Data cleaning and preparation
  • 1. Handling missing values, duplicates, and errors
  • 2. Formatting and standardizing values
  • 3. Filtering, sorting, transforming data
- Data acquisition and loading
  • 1. Reading text, CSV, and structured files
  • 2. Importing data from external sources
- 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
Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:

1. You are reading a data.csvfile line by line. To prepare each line for formatting with f-strings, you need to remove extra whitespace and split the values by commas.
Which line should you insert to correctly clean and parse the input?

A) fields = line.strip().split(', ')
B) fields = line.split().strip(', ')
C) fields = line.replace(', ', '|').split('|')
D) fields = line.split(', ').trim()


2. A Python developer is testing truth values of different data types using the bool() function. The expression bool([0]) is evaluated in the script. What result should be expected when this expression is printed?

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


3. A Python script checks membership using "a" in "apple". The developer wants to understand how membership works for strings. What result will this expression produce?

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


4. A list is reversed using slicing: lst[::-1]. The programmer wants to confirm whether this modifies the original list or creates a new one. What is the correct behavior?

A) Creates new list
B) Error
C) Modifies original
D) Returns None


5. 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 streamline the initial capture of citizen details and minimize the administrative burden on both staff and the public.
C) To enable seamless sharing of anonymized citizen information with other governmental bodies for collaborative initiatives.
D) To uphold data quality for effective service delivery, safeguard citizen privacy and prevent misuse, and comply with data protection laws.


Solutions:

Question # 1
Answer: A
Question # 2
Answer: A
Question # 3
Answer: A
Question # 4
Answer: A
Question # 5
Answer: D

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