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Python Institute PCED-30-02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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
- File Handling
  • 1. Use the csv module for basic CSV operations
  • 2. Read from and write to files (text, CSV)
- Python Fundamentals
  • 1. Implement control flow structures (loops, conditionals)
  • 2. Use variables, data types, and basic operators
  • 3. Define and use functions
Topic 2: Communicating Insights and Reporting12.5%- Data Storytelling and Reporting
  • 1. Structure insights as a narrative
  • 2. Present insights with visual and verbal techniques
  • 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 3: Working with Data and Performing Simple Analyses32.5%- Data Analysis with Python Libraries
  • 1. Utilize the collections module for specialized containers
  • 2. Work with the datetime module for date/time data
  • 3. Perform basic operations with NumPy arrays
  • 4. Use the math and statistics modules for basic calculations
- Data Cleaning and Transformation
  • 1. Perform basic data transformation (filtering, sorting, grouping)
  • 2. Handle missing and inconsistent data
- Simple Analytical Techniques
  • 1. Calculate descriptive statistics (mean, median, mode)
  • 2. Identify basic patterns and trends in data
Topic 4: Introduction to Data and Data Analysis Concepts22.5%- 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
- 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

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

1. A loop is designed using range(1, 6, 2) to iterate through numbers. The developer wants to know exactly which values will be generated during execution. Which sequence correctly represents the values produced?

A) 1, 3
B) 2, 4, 6
C) 1, 3, 5
D) 1, 2, 3, 4, 5


2. You are given a short Python script that uses both arithmetic and assignment operators. The variable x is initialized as 4, then updated using x *= 2 + 3. What will be printed when the final value of x is displayed?

A) 14
B) 20
C) 24
D) 10


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

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


4. A script attempts to divide two numbers using / and //. The values are 7 and 2. The developer wants to understand the difference between true division and floor division. What are the results respectively?

A) 3 and 4
B) 4 and 3
C) 3.5 and 3
D) 3 and 3.5


5. A student writes a program using input() to collect user data, then tries to add 5 to the input value without conversion. The program crashes. What is the most likely cause of this behavior?

A) input returns string
B) input returns int
C) Syntax error
D) input returns float


Solutions:

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

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