Python Institute PCED-30-02 Q&A - in .pdf

  • PCED-30-02 pdf
  • Exam Code: PCED-30-02
  • Exam Name: PCED - Certified Entry-Level Data Analyst with Python
  • Updated: Aug 23, 2026
  • Q & A: 52 Questions and Answers
  • Convenient, easy to study.
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  • Updated: Aug 23, 2026
  • Q & A: 52 Questions and Answers
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  • PCED-30-02 Testing Engine
  • Exam Code: PCED-30-02
  • Exam Name: PCED - Certified Entry-Level Data Analyst with Python
  • Updated: Aug 23, 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 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. Qualitative vs quantitative data
  • 2. Nominal, ordinal, interval, ratio scales
- 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
Topic 2: Python Basics for Data Analysis32.5%- Built-in modules for data work
  • 1. math, statistics, datetime, collections, csv
- 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. Conditional statements, loops, iteration
  • 3. Defining and calling functions, parameters, return values
- Introduction to NumPy
  • 1. Arrays, basic operations, indexing, slicing
Topic 3: Data Visualization and Communication20%- Interpreting and presenting results
  • 1. Reporting findings clearly and concisely
  • 2. Deriving conclusions and insights
- Creating basic visualizations
  • 1. Using text and simple plotting tools
  • 2. Line charts, bar charts, histograms, pie charts
- Principles of effective data visualization
  • 1. Choosing appropriate chart types
  • 2. Clarity, simplicity, and accuracy
Topic 4: Working with Data and Performing Simple Analysis25%- Exploratory data analysis
  • 1. Identifying patterns, trends, and outliers
  • 2. Calculating mean, median, mode, range, variance, standard deviation
- Data acquisition and loading
  • 1. Reading text, CSV, and structured files
  • 2. Importing data from external sources
- Data cleaning and preparation
  • 1. Filtering, sorting, transforming data
  • 2. Handling missing values, duplicates, and errors
  • 3. Formatting and standardizing values
- Data aggregation and grouping
  • 1. Summarizing and grouping datasets

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

1. Which of the following statements about Python functions are correct? (Choose two.)

A) Functions can only return numeric values or strings.
B) A function cannot call itself or be passed as an argument to itself.
C) If a function does not contain a returnstatement, it returns Noneby default.
D) passexecutes the function body and returns its result.
E) Default parameters must always come before required ones in the parameter list.
F) Positional arguments must be passed in the order defined, while keyword arguments can be passed in any order using their parameter names.


2. Consider a Python program that assigns a string value "5" to a variable and then attempts to multiply it by an integer 3. The programmer expects numeric multiplication. What will actually happen when the code is executed?

A) "555"
B) Error
C) 8
D) 15


3. You are given two lists representing daily page views and sign-ups on a website:
views = [120, 130, 128, 700, 115, 123, 119, 680, 122]
signups = [12, 15, 13, 50, 11, 14, 10, 55, 13]
You want to:
- remove outliers (views > 600), and
- calculate correlation between the cleaned lists.
Which code accomplishes this correctly? Select the best answer.

A)

B)

C)

D)


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


5. Below are six possible summaries for your presentation:
- Summary 1: "The data revealed a moderate positive correlation between age and recycling frequency. While 72% of students reported recycling paper regularly, only 39% reported recycling plastic."
- Summary 2: "Analysis showed notable differences in recycling habits by material type, with paper being most recycled and plastic least recycled."
- Summary 3: "Older kids recycled more than younger ones. Paper was the most recycled item- plastic got forgotten a lot."
- Summary 4: "Student responses showed positive environmental habits overall, though participation varied by waste type."
- Summary 5: "A lot of students said they recycle. Some didn't answer every question, so we couldn't figure out everything."
- Summary 6: "We asked more than 300 students about recycling. Most said they recycle paper, but way fewer recycle plastic." Which communication style is the best fit for Group A (data scientists) and Group B (12-year- olds), respectively? Select the best answer.

A) Summary 2 for Group A. Summary 6 for Group B
B) Summary 6 for Group A, Summary 5 for Group B
C) Summary 1 for Group A, Summary 6 for Group B
D) Summary 1 for Group A, Summary 3 for Group B
E) Summary 6 for Group A, Summary 3 for Group B
F) Summary 4 for Group A, Summary 3 for Group B


Solutions:

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

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