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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. 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
Communicating Insights and Reporting12.5%- Data Visualization
  • 1. Recognize common visualization types (bar, line, pie charts)
  • 2. Interpret simple data visualizations
  • 3. Select appropriate visuals for different data types
- 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
Python Basics for Data Analysis32.5%- Python Fundamentals
  • 1. Use variables, data types, and basic operators
  • 2. Define and use functions
  • 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)
- Data Structures
  • 1. Apply common operations and methods to data structures
  • 2. Work with lists, tuples, dictionaries, and sets
Introduction to Data and Data Analysis Concepts22.5%- Define and Classify Data
  • 1. Differentiate structured, semi-structured, and unstructured data
  • 2. Classify data as quantitative or qualitative
  • 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. Identify common data sources and collection methods
  • 2. Explain the role of data cleaning and preparation
  • 3. Describe the steps of the data analysis process

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

1. 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)


2. A list is defined as [1, 2, 3]. The programmer uses the method .append([4, 5]). What will the resulting list look like after execution?

A) Error
B) [4,5,1,2,3]
C) [1,2,3,[4,5]]
D) [1,2,3,4,5]


3. 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) The more meetings a team had, the more projects they finished, especially in high-performing teams like Omega and Delta."
C) "Project completion numbers were nearly identical across all teams, averaging 3.25 per month."
D) "Gamma and Omega were outliers that inflated the meeting average, but most teams finished about 3 projects per month."


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

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


5. 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) No execution
D) Infinite loop


Solutions:

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

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