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

  • Exam Code: PCED-30-02
  • Exam Name: PCED - Certified Entry-Level Data Analyst with Python
  • Updated: Aug 09, 2026
  • Q & A: 52 Questions and Answers
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  • Exam Code: PCED-30-02
  • Exam Name: PCED - Certified Entry-Level Data Analyst with Python
  • Updated: Aug 09, 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
- Introduction to NumPy
  • 1. Arrays, basic operations, indexing, slicing
- Core Python syntax and data types
  • 1. Lists, tuples, sets, dictionaries
  • 2. Variables, numbers, strings, booleans
- Control flow and functions
  • 1. Defining and calling functions, parameters, return values
  • 2. Conditional statements, loops, iteration
  • 3. Basic exception handling
Topic 2: Data Visualization and Communication20%- 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
- Interpreting and presenting results
  • 1. Deriving conclusions and insights
  • 2. Reporting findings clearly and concisely
Topic 3: Introduction to Data and Data Analysis Concepts22.5%- Definition and classification of data
  • 1. Process of turning raw data into insights
  • 2. Difference between data, information, and knowledge
  • 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
- Data types and measurement scales
  • 1. Nominal, ordinal, interval, ratio scales
  • 2. Qualitative vs quantitative data
Topic 4: Working with Data and Performing Simple Analysis25%- Exploratory data analysis
  • 1. Calculating mean, median, mode, range, variance, standard deviation
  • 2. Identifying patterns, trends, and outliers
- Data cleaning and preparation
  • 1. Formatting and standardizing values
  • 2. Handling missing values, duplicates, and errors
  • 3. Filtering, sorting, transforming data
- Data aggregation and grouping
  • 1. Summarizing and grouping datasets
- Data acquisition and loading
  • 1. Importing data from external sources
  • 2. Reading text, CSV, and structured files

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

1. You are working with city names entered by users. These names may contain inconsistent capitalization and unwanted spaces.
To standardize the data, you want to:
- Remove any leading or trailing whitespace, and
- Capitalize the first letter of each word (e.g., convert "new york" to "New York").
For example:
" New york " → "New York"
"lOS ANGELES" → "Los Angeles"
You are given a variable citythat contains the raw input.
Which line of code correctly updates the value of cleaned_cityto apply the required transformation? Select the best answer.

A) cleaned_city = city.upper().replace(" ", "")
B) cleaned_city = city.strip().title()
C) cleaned_city = city.strip().capitalize()
D) cleaned_city = city.upper().strip()


2. A health researcher uses wearable devices to record physical activity and sends a survey to randomly selected participants across age groups.
Why can this approach be effective? Select the best answer.

A) It relies on observational methods, which are more accurate than surveys or sensors.
B) It uses unstructured interviews to validate automated tracking, improving bias detection.
C) It combines automated data collection with representative sampling, reducing the risk of bias.
D) It limits sampling to one demographic, ensuring high-quality data within a specific group.


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


4. A teacher wants to compare the number of students in different school clubs:

Which type of chart would be most appropriate to show this comparison? Select the best answer.

A) Bar chart
B) Bubble chart
C) Line chart
D) Pie chart


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

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


Solutions:

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

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