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| Section | Weight | Objectives |
|---|
| Introduction to Data and Data Analysis Concepts | 22.5% | - 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. Explain how data becomes meaningful
- 3. Classify data as quantitative or qualitative
- Data Ethics and Privacy
- 1. Understand basic data privacy concepts
- 2. Recognize ethical considerations in data handling
|
| 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 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
- Data Cleaning and Transformation
- 1. Perform basic data transformation (filtering, sorting, grouping)
- 2. Handle missing and inconsistent data
|
| Python Basics for Data Analysis | 32.5% | - Python Fundamentals
- 1. Implement control flow structures (loops, conditionals)
- 2. Use variables, data types, and basic operators
- 3. Define and use functions
- 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)
|
| Communicating Insights and Reporting | 12.5% | - Data Storytelling and Reporting
- 1. Create clear and concise analytical reports
- 2. Structure insights as a narrative
- 3. Present insights with visual and verbal techniques
- Data Visualization
- 1. Select appropriate visuals for different data types
- 2. Recognize common visualization types (bar, line, pie charts)
- 3. Interpret simple data visualizations
|
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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q45-Q50):
NEW QUESTION # 45
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. [1,2,3,[4,5]]
- B. Error
- C. [1,2,3,4,5]
- D. [4,5,1,2,3]
Answer: A
Explanation:
The append() method adds its argument as a single element. Therefore, the list [4, 5] is added as one nested list, resulting in [1, 2, 3, [4, 5]].
NEW QUESTION # 46
You are reading a data.csvfile line by line. To prepare each line for formatting with f-strings, you need to remove extra whitespace and split the values by commas.
Which line should you insert to correctly clean and parse the input?
- A. fields = line.split().strip(', ')
- B. fields = line.split(', ').trim()
- C. fields = line.strip().split(', ')
- D. fields = line.replace(', ', '|').split('|')
Answer: C
NEW QUESTION # 47
A program uses while False: followed by print statements inside the loop. The developer expects output. What will actually happen during execution?
- A. Infinite loop
- B. Error
- C. Prints once
- D. No execution
Answer: D
Explanation:
The condition False is evaluated before entering the loop. Since it is always false, the loop body is never executed, and no output is produced.
NEW QUESTION # 48
You are reading a data.csvfile line by line. To prepare each line for formatting with f-strings, you need to remove extra whitespace and split the values by commas.
Which line should you insert to correctly clean and parse the input?
- A. fields = line.split().strip(', ')
- B. fields = line.split(', ').trim()
- C. fields = line.strip().split(', ')
- D. fields = line.replace(', ', '|').split('|')
Answer: C
Explanation:
Stripping removes leading and trailing whitespace from the line, and then splitting on the comma- space delimiter correctly separates the values into a list for further formatting.
NEW QUESTION # 49
A Python script evaluates the expression len(" "). The programmer assumes it might be zero because it looks empty. What will the actual result be?
Answer: B
Explanation:
A space is still a valid character in a string. Therefore, the string contains one character, and len("
") returns 1 instead of 0.
NEW QUESTION # 50
......
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