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Python Institute PCED-30-02 Exam Syllabus Topics:

SectionWeightObjectives
Introduction to Data and Data Analysis Concepts22.5%- Data Analysis Process and Workflow
  • 1. Explain the role of data cleaning and preparation
  • 2. Identify common data sources and collection methods
  • 3. Describe the steps of the data analysis process
- 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 Ethics and Privacy
  • 1. Recognize ethical considerations in data handling
  • 2. Understand basic data privacy concepts
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. Create clear and concise analytical reports
  • 3. Present insights with visual and verbal techniques
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. Utilize the collections module for specialized containers
  • 2. Use the math and statistics modules for basic calculations
  • 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
Python Basics for Data Analysis32.5%- File Handling
  • 1. Read from and write to files (text, CSV)
  • 2. Use the csv module for basic CSV operations
- Python Fundamentals
  • 1. Implement control flow structures (loops, conditionals)
  • 2. Define and use functions
  • 3. Use variables, data types, and basic operators
- Data Structures
  • 1. Apply common operations and methods to data structures
  • 2. Work with lists, tuples, dictionaries, and sets

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

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.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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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.upper().replace(" ", "")
  • B. cleaned_city = city.strip().title()
  • C. cleaned_city = city.upper().strip()
  • D. cleaned_city = city.strip().capitalize()
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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

Which statements are most accurate? (Choose two.)

  • A. More time is spent commuting than on leisure.
  • B. Leisure accounts for a moderate portion of the student's daily schedule, larger than commuting but smaller than the time spent at school.
  • C. School and homework together take up half of the day's time.
  • D. Sleep and school take up the majority of time in a day.
  • E. Leisure and meals combined equal the time spent at school.
  • F. Commuting is the second most time-consuming activity.
Reveal Solution  Discussion  0

Correct Answer: B,D  🗳️

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What will be the output of the following code?

  • A. 10 5
  • B. 5 10
  • C. 5 5
  • D. 10 10
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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A Python script evaluates the expression len(" "). The programmer assumes it might be zero because it looks empty. What will the actual result be?

  • A. 0
  • B. Error
  • C. None
  • D. 1
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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