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Python Institute PCED-30-02 : 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: Aug 08, 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%- Define and Classify Data
  • 1. Differentiate structured, semi-structured, and unstructured data
  • 2. Explain how data becomes meaningful
  • 3. Classify data as quantitative or qualitative
- Data Analysis Process and Workflow
  • 1. Identify common data sources and collection methods
  • 2. Explain the role of data cleaning and preparation
  • 3. Describe the steps of the data analysis process
- Data Ethics and Privacy
  • 1. Understand basic data privacy concepts
  • 2. Recognize ethical considerations in data handling
Topic 2: Python Basics for Data Analysis32.5%- Python Fundamentals
  • 1. Define and use functions
  • 2. Implement control flow structures (loops, conditionals)
  • 3. Use variables, data types, and basic operators
- File Handling
  • 1. Use the csv module for basic CSV operations
  • 2. Read from and write to files (text, CSV)
- Data Structures
  • 1. Work with lists, tuples, dictionaries, and sets
  • 2. Apply common operations and methods to data structures
Topic 3: Working with Data and Performing Simple Analyses32.5%- Data Analysis with Python Libraries
  • 1. Perform basic operations with NumPy arrays
  • 2. Work with the datetime module for date/time data
  • 3. Use the math and statistics modules for basic calculations
  • 4. Utilize the collections module for specialized containers
- Simple Analytical Techniques
  • 1. Identify basic patterns and trends in data
  • 2. Calculate descriptive statistics (mean, median, mode)
- Data Cleaning and Transformation
  • 1. Handle missing and inconsistent data
  • 2. Perform basic data transformation (filtering, sorting, grouping)
Topic 4: Communicating Insights and Reporting12.5%- Data Storytelling and Reporting
  • 1. Present insights with visual and verbal techniques
  • 2. Structure insights as a narrative
  • 3. Create clear and concise analytical reports
- Data Visualization
  • 1. Select appropriate visuals for different data types
  • 2. Interpret simple data visualizations
  • 3. Recognize common visualization types (bar, line, pie charts)

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

1. The following chart shows how a student spends 24 hours in a day:

Which statements are most accurate? (Choose two.)

A) Sleep and school take up the majority of time in a day.
B) Leisure and meals combined equal the time spent at school.
C) School and homework together take up half of the day's time.
D) Commuting is the second most time-consuming activity.
E) More time is spent commuting than on leisure.
F) Leisure accounts for a moderate portion of the student's daily schedule, larger than commuting but smaller than the time spent at school.


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


3. Given the following string:
text = "Report2024Final"
Which of the following statements are entirely correct? (Choose two.)

A) text[0:6].isalpha() returns True, and text.find("2024") returns 6
B) text.capitalize()changes Report2024Finalto REPORT2024FINAL, and text.find("2024")returns 6
C) text.isalpha()returns True, and text.find ("2024")returns True
D) text[6:8].isdigit()returns True, and text.endswith("Final")returns True
E) text[-6].isdigit() returns True, text.startswith("r") returns True
F) text.capitalize()changes Finalto lowercase, and text.find ("L")returns True


4. 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) None
B) True
C) False
D) Error


5. 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)


Solutions:

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

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