Python Institute PCED-30-02 valid - in .pdf

PCED-30-02 pdf
  • Exam Code: PCED-30-02
  • Exam Name: PCED - Certified Entry-Level Data Analyst with Python
  • Updated: Jul 30, 2026
  • Q & A: 52 Questions and Answers
  • PDF Price: $59.99
  • Free Demo

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  • Exam Code: PCED-30-02
  • Exam Name: PCED - Certified Entry-Level Data Analyst with Python
  • Q & A: 52 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $119.98  $79.99
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Python Institute PCED-30-02 valid - Testing Engine

PCED-30-02 Testing Engine
  • Exam Code: PCED-30-02
  • Exam Name: PCED - Certified Entry-Level Data Analyst with Python
  • Q & A: 52 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

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Python Institute PCED-30-02 Exam Syllabus Topics:

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

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

1. A program uses while False: followed by print statements inside the loop. The developer expects output. What will actually happen during execution?

A) Prints once
B) Error
C) Infinite loop
D) No execution


2. Which of the following code snippets will output Truefor both printfunctions by correctly identifying the type of each variable and performing valid operations?

A)

B)

C)

D)


3. 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.isalpha()returns True, and text.find ("2024")returns True
D) text.capitalize()changes Report2024Finalto REPORT2024FINAL, and text.find("2024")returns 6
E) text.capitalize()changes Finalto lowercase, and text.find ("L")returns True
F) text[-6].isdigit() returns True, text.startswith("r") returns True


4. A financial technology company is reviewing its data practices to ensure legal and ethical compliance.
Which of the following actions would support responsible data handling and align with regulations like GDPR, HIPAA, and CCPA? (Choose two.)

A) Automatically opting users into data sharing unless they manually change settings.
B) Implementing encryption for both stored and transmitted customer data.
C) Providing users with a clear explanation of how their data is used and obtaining explicit consent.
D) Retaining user data permanently unless users explicitly request deletion.
E) Limiting data access only to marketing staff to streamline personalization.


5. You want to safely read the contents of a file named records.txtand store them in a list. Your requirements are:
- The file should be automatically closed after reading,
- The code should check whether the file exists before opening it, and
- It should handle missing file errors gracefully.
Which of the following is the most appropriate way to accomplish this task in Python? Select the best answer.

A)

B)

C)

D)


Solutions:

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

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