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Python Institute PCED-30-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Python Basics for Data Analysis | 32.5% | - File Handling
- 1. Read from and write to files (text, CSV)
- 2. Use the csv module for basic CSV operations
- 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)
|
| Topic 2: Introduction to Data and Data Analysis Concepts | 22.5% | - 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
- 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
|
| Topic 3: Communicating Insights and Reporting | 12.5% | - 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. Interpret simple data visualizations
- 2. Recognize common visualization types (bar, line, pie charts)
- 3. Select appropriate visuals for different data types
|
| Topic 4: Working with Data and Performing Simple Analyses | 32.5% | - Simple Analytical Techniques
- 1. Calculate descriptive statistics (mean, median, mode)
- 2. Identify basic patterns and trends in data
- Data Cleaning and Transformation
- 1. Perform basic data transformation (filtering, sorting, grouping)
- 2. Handle missing and inconsistent data
- Data Analysis with Python Libraries
- 1. Use the math and statistics modules for basic calculations
- 2. Utilize the collections module for specialized containers
- 3. Perform basic operations with NumPy arrays
- 4. Work with the datetime module for date/time data
|
Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:
1. A Python loop uses range(5, 0, -2) to iterate backward. The programmer expects a decreasing sequence. Which values will actually be generated when this loop runs?
A) 5, 3
B) 4, 2, 0
C) 5, 3, 1
D) 5, 4, 3, 2, 1
2. A healthcare provider analyzes patient records to determine that appointment cancellations spike during weather alerts and flu season.
What type of analytics is this?
A) Predictive analytics - it uses weather and illness trends to forecast future cancellations.
B) Prescriptive analytics - it automates patient rescheduling based on cancellation patterns.
C) Diagnostic analytics - it identifies reasons behind patterns in patient behavior.
D) Descriptive analytics - it reports appointment numbers across past seasons.
3. 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) 5
B) 10
C) Error
D) None
4. What will be the output of the following code?

A) 5 10
B) 10 5
C) 10 10
D) 5 5
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) Infinite loop
C) No execution
D) Error
Solutions:
Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: C |