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Python Institute PCED-30-02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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)
Topic 2: Working with Data and Performing Simple Analyses32.5%- Data Cleaning and Transformation
  • 1. Perform basic data transformation (filtering, sorting, grouping)
  • 2. Handle missing and inconsistent data
- Data Analysis with Python Libraries
  • 1. Perform basic operations with NumPy arrays
  • 2. Work with the datetime module for date/time data
  • 3. Utilize the collections module for specialized containers
  • 4. Use the math and statistics modules for basic calculations
- Simple Analytical Techniques
  • 1. Calculate descriptive statistics (mean, median, mode)
  • 2. Identify basic patterns and trends in data
Topic 3: 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
- Python Fundamentals
  • 1. Define and use functions
  • 2. Use variables, data types, and basic operators
  • 3. Implement control flow structures (loops, conditionals)
- File Handling
  • 1. Use the csv module for basic CSV operations
  • 2. Read from and write to files (text, CSV)
Topic 4: Introduction to Data and Data Analysis Concepts22.5%- Define and Classify Data
  • 1. Explain how data becomes meaningful
  • 2. Differentiate structured, semi-structured, and unstructured data
  • 3. Classify data as quantitative or qualitative
- Data Ethics and Privacy
  • 1. Understand basic data privacy concepts
  • 2. Recognize ethical considerations in data handling
- 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:

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

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

Correct Answer: A,E  🗳️

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Consider a Python program that assigns a string value "5" to a variable and then attempts to multiply it by an integer 3. The programmer expects numeric multiplication. What will actually happen when the code is executed?

  • A. Error
  • B. "555"
  • C. 8
  • D. 15
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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You are reviewing a report that compares the number of weekly client meetings and project completion rates across teams. The table below summarizes the data for each team:

Which statement best describes the data shown above? Select the best answer.

  • A. "Teams with 5-6 weekly meetings tended to complete more projects than those with very high or very low meeting counts."
  • B. "Project completion numbers were nearly identical across all teams, averaging 3.25 per month."
  • C. "Gamma and Omega were outliers that inflated the meeting average, but most teams finished about 3 projects per month."
  • D. The more meetings a team had, the more projects they finished, especially in high-performing teams like Omega and Delta."
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Correct Answer: A  🗳️

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You are given the following list of daily step counts:
steps = [8230, 9020, 7640, 8760, 10020, 2546, 9817]
Your task is to calculate:
- the standard deviation of the step counts,
- the average rounded up to the nearest whole number, and
- the median of the step counts.
Which code snippet correctly performs all three tasks? Select the best answer.
import statistics

  • A. import math
    print(statistics.stdev(steps))
    print(math.ceil(statistics.mean(steps)))
    print(statistics.median(steps))
  • B. import math
    print(statistics.stdev(steps))
    print(round(math.mean(steps)))
    print(math.median(steps))
    import statistics
  • C. import math
    print(statistics.variance(steps))
    print(math.ceil(sum(steps) / len(steps)))
    print(math.floor(statistics.median(steps)))
    import statistics
  • D. import math
    print(math.stdev(steps))
    print(statistics.mean(steps))
    print(statistics.median(steps))
    import statistics
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Correct Answer: A  🗳️

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An online retailer collects customer reviews, order transaction logs, and product ratings.
Which of the following correctly classifies these types of data? Select the best answer.

  • A. Product ratings are quantitative and structured; customer reviews are qualitative and unstructured; transaction logs are structured and quantitative
  • B. Product ratings are quantitative and unstructured; customer reviews are structured and qualitative; transaction logs are quantitative and unstructured.
  • C. Product ratings are qualitative and unstructured; customer reviews are quantitative and structured; transaction logs are semi-structured and qualitative.
  • D. Product ratings are qualitative and structured; customer reviews are qualitative and unstructured; transaction logs are quantitative and semi-structured.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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