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Python Institute PCED-30-02 Exam Syllabus Topics:

SectionWeightObjectives
Python Basics for Data Analysis32.5%- Python Fundamentals
  • 1. Use variables, data types, and basic operators
  • 2. Implement control flow structures (loops, conditionals)
  • 3. Define and use functions
- 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
Introduction to Data and Data Analysis Concepts22.5%- Data Analysis Process and Workflow
  • 1. Identify common data sources and collection methods
  • 2. Describe the steps of the data analysis process
  • 3. Explain the role of data cleaning and preparation
- 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. Understand basic data privacy concepts
  • 2. Recognize ethical considerations in data handling
Communicating Insights and Reporting12.5%- Data Visualization
  • 1. Select appropriate visuals for different data types
  • 2. Interpret simple data visualizations
  • 3. Recognize common visualization types (bar, line, pie charts)
- 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
Working with Data and Performing Simple Analyses32.5%- Data Cleaning and Transformation
  • 1. Handle missing and inconsistent data
  • 2. Perform basic data transformation (filtering, sorting, grouping)
- Simple Analytical Techniques
  • 1. Identify basic patterns and trends in data
  • 2. Calculate descriptive statistics (mean, median, mode)
- Data Analysis with Python Libraries
  • 1. Work with the datetime module for date/time data
  • 2. Utilize the collections module for specialized containers
  • 3. Use the math and statistics modules for basic calculations
  • 4. Perform basic operations with NumPy arrays

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

You are developing a temperature control module for a laboratory incubator. Your objectives are to:
- generate timestamps every 10 minutes over a 3-hour span (i.e., 0 to 180 minutes), and
- simulate five evenly spaced target temperatures between 35.0°C and 37.0°C for system calibration.
Which code snippet correctly produces both sequences using NumPy? Select the best answer.
import numpy as np

  • A. timestamps = np.arange(0, 180, 10)
    target_temps = np.linspace(35.0, 37.0, 4)
    import numpy as np
  • B. timestamps = np.arange(0, 181, 10)
    target_temps = np.linspace(35.0, 37.0, 5)
  • C. timestamps = np.linspace(0, 180, 10)
    target_temps = np.arange(35.0, 37.0, 5)
    import numpy as np
  • D. timestamps = np.linspace(0, 181, 10)
    target_temps = np.arange(35.0, 37.0, 0.5)
    import numpy a3 np
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for ITPassLeader members. You can sign-up / login (it's free).

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

  • A. Positional arguments must be passed in the order defined, while keyword arguments can be passed in any order using their parameter names.
  • B. A function cannot call itself or be passed as an argument to itself.
  • C. passexecutes the function body and returns its result.
  • D. If a function does not contain a returnstatement, it returns Noneby default.
  • E. Functions can only return numeric values or strings.
  • F. Default parameters must always come before required ones in the parameter list.
Reveal Solution  Discussion  0

Correct Answer: A,D  🗳️

Explanation: Only visible for ITPassLeader members. You can sign-up / login (it's free).

You are writing a function named process_data()to read and process numerical input from a file. The function must:
- read the file data.txt,
- attempt to convert the first line into an integer,
- handle file, conversion, or index-related exceptions,
- print the value only if no error occurs,
- and always print a final message after execution.
Which implementation correctly and robustly meets all these conditions? Select the best answer.

  • A.
  • B.
  • C.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for ITPassLeader members. You can sign-up / login (it's free).

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. True
  • B. None
  • C. Error
  • D. False
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for ITPassLeader members. You can sign-up / login (it's free).

A variable is assigned using chained assignment: a = b = c = 10. The developer then changes b =
5. What will be the value of a after this operation?

  • A. 10
  • B. 5
  • C. None
  • D. Error
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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