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| Section | Objectives |
|---|
| Topic 1: Basic Statistics for Data Analysis | - Descriptive statistics
- 1. Variance and standard deviation
- 2. Mean, median, mode
|
| Topic 2: Data Analysis and Visualization | - Data visualization
- 1. Plot interpretation
- 2. Matplotlib basics
- Data cleaning and preprocessing
- 1. Missing values handling
- 2. Data transformation techniques
|
| Topic 3: Data Handling and Processing with Python | - Data manipulation libraries
- 1. Pandas fundamentals
- 2. NumPy basics
- Working with data structures
- 1. Lists, tuples, dictionaries
- 2. Iterating and transformations
|
| Topic 4: Python Programming Fundamentals | - Basic syntax and data types
- 1. Variables and operators
- 2. Control flow basics
|
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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q38-Q43):
NEW QUESTION # 38
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
Answer: C
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 # 39
A script defines a variable x = None and checks its truth value using a conditional statement. The developer wants to understand how Python evaluates None in Boolean contexts. What will bool(x) return?
- A. False
- B. Error
- C. None
- D. True
Answer: A
Explanation:
The value None represents the absence of a value and is treated as False in Boolean expressions. Therefore, calling bool(None) returns False, similar to empty containers or zero values.
NEW QUESTION # 40
You are given the following list of daily step counts:
steps = [8230, 9020, 7640, 8760, 10020, 2546, 9817]
Your task is to calculate:
- the standard deviation of the step counts,
- the average rounded up to the nearest whole number, and
- the median of the step counts.
Which code snippet correctly performs all three tasks? Select the best answer.
import statistics
- A. import math
print(math.stdev(steps))
print(statistics.mean(steps))
print(statistics.median(steps))
import statistics - B. import math
print(statistics.stdev(steps))
print(round(math.mean(steps)))
print(math.median(steps))
import statistics - C. import math
print(statistics.stdev(steps))
print(math.ceil(statistics.mean(steps)))
print(statistics.median(steps)) - D. import math
print(statistics.variance(steps))
print(math.ceil(sum(steps) / len(steps)))
print(math.floor(statistics.median(steps)))
import statistics
Answer: C
Explanation:
It uses statistics.stdev() to compute the standard deviation, statistics.mean() to compute the average and math.ceil() to round it up to the nearest whole number, and statistics.median() to compute the median.
NEW QUESTION # 41
A data analyst exports a cleaned dataset from Python and wants to share it with a colleague for easy use in Excel.
Which file format is best suited for this purpose? Select the best answer.
- A. SQL, because it directly converts tabular data into database tables that Excel can open.
- B. JSON, because it stores hierarchical data and is designed for visual presentation in Excel.
- C. CSV, because it stores tabular data in plain text and is compatible with spreadsheet applications.
- D. XML, because it automatically preserves spreadsheet formatting and charts.
Answer: C
Explanation:
CSV stores tabular data in a simple plain-text, comma-separated format that is widely supported by spreadsheet applications like Excel, making it ideal for sharing datasets for easy import and analysis.
NEW QUESTION # 42
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(', ').trim()
- B. fields = line.split().strip(', ')
- 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 # 43
......
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