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

  • Exam Code: Python Institute
  • Exam Name: PCED - Certified Entry-Level Data Analyst with Python
  • Updated: Aug 19, 2026
  • Q & A: 52 Questions and Answers

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Python Institute PCED-30-02 Exam Syllabus Topics:
SectionWeightObjectives
Working with Data and Performing Simple Analyses32.5%- Simple Analytical Techniques
  • 1. Identify basic patterns and trends in data
  • 2. Calculate descriptive statistics (mean, median, mode)
- Data Analysis with Python Libraries
  • 1. Use the math and statistics modules for basic calculations
  • 2. Utilize the collections module for specialized containers
  • 3. Perform basic operations with NumPy arrays
  • 4. Work with the datetime module for date/time data
- Data Cleaning and Transformation
  • 1. Perform basic data transformation (filtering, sorting, grouping)
  • 2. Handle missing and inconsistent data
Communicating Insights and Reporting12.5%- Data Storytelling and Reporting
  • 1. Create clear and concise analytical reports
  • 2. Present insights with visual and verbal techniques
  • 3. Structure insights as a narrative
- Data Visualization
  • 1. Interpret simple data visualizations
  • 2. Select appropriate visuals for different data types
  • 3. Recognize common visualization types (bar, line, pie charts)
Python Basics for Data Analysis32.5%- Data Structures
  • 1. Apply common operations and methods to data structures
  • 2. Work with lists, tuples, dictionaries, and sets
- Python Fundamentals
  • 1. Implement control flow structures (loops, conditionals)
  • 2. Define and use functions
  • 3. Use variables, data types, and basic operators
- File Handling
  • 1. Read from and write to files (text, CSV)
  • 2. Use the csv module for basic CSV operations
Introduction to Data and Data Analysis Concepts22.5%- Define and Classify Data
  • 1. Classify data as quantitative or qualitative
  • 2. Differentiate structured, semi-structured, and unstructured data
  • 3. Explain how data becomes meaningful
- Data Ethics and Privacy
  • 1. Recognize ethical considerations in data handling
  • 2. Understand basic data privacy concepts
- Data Analysis Process and Workflow
  • 1. Describe the steps of the data analysis process
  • 2. Explain the role of data cleaning and preparation
  • 3. Identify common data sources and collection methods
Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:

1. Which task is traditionally or typically performed by a data analyst, and not by a data scientist or analytics specialist? Select the best answer.

A) Recommending pricing strategies using predictive modeling and A/B testing.
B) Developing machine learning algorithms to predict user behavior.
C) Creating summary tables and charts to describe patterns in historical data.
D) Designing a data pipeline to ingest and process real-time sensor data.


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


3. What will be the output of the following code?

A) 5 10
B) 5 5
C) 10 10
D) 10 5


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

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


5. You are creating a presentation slide to communicate findings about student stress levels across four categories over a six-month period. You include the following line graph in your presentation:

Your goal is to help your audience clearly understand trends in stress levels over time.
What is the highest problem with this visual presentation? Select the best answer.

A) The font used in the chart is hard to read; using larger, uppercase text would improve clarity.
B) The chart should be in 3D format to show depth and highlight differences more clearly.
C) The months should be replaced with week numbers to provide more detailed insight.
D) The lines are too light and similar in color, making it difficult to distinguish between trends.
E) The graph doesn't explain what each stress level means or show exact values for each month, which limits interpretation.


Solutions:

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

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