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Python Institute PCED-30-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Python Basics for Data Analysis | 32.5% | - Control flow and functions
|
| Working with Data and Performing Simple Analysis | 25% | - Data aggregation and grouping
|
| Data Visualization and Communication | 20% | - Interpreting and presenting results
|
| Introduction to Data and Data Analysis Concepts | 22.5% | - Data types and measurement scales
|
Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:
1. 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.variance(steps))
print(math.ceil(sum(steps) / len(steps)))
print(math.floor(statistics.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.stdev(steps))
print(round(math.mean(steps)))
print(math.median(steps))
import statistics
2. A teacher wants to compare the number of students in different school clubs:
Which type of chart would be most appropriate to show this comparison? Select the best answer.
A) Bubble chart
B) Pie chart
C) Line chart
D) Bar chart
3. You are analyzing survey results from students about their favorite colors. The list colorsstores individual responses:
You want to:
- find the number of unique colors mentioned using NumPy, and
- determine how often each color was chosen using Counter.
Which code snippet correctly performs both tasks? Select the best answer.
from numpy import unique
A) from collections import Counter
unique_colors = len(set(colors))
color_counts = np.unique(colors)
B) from collections import Counter
unique_colors = len(unique(colors))
color_counts = Counter(colors)
import numpy as np
C) from collections import Counter
unique_colors = Counter(colors)
color_counts = sum(np.unique(colors))
import numpy as np
D) from collections import Counter
unique_colors = np.unique(colors)
color_counts = Counter(set(colors))
import numpy as np
4. 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) 4, 2, 0
B) 5, 4, 3, 2, 1
C) 5, 3
D) 5, 3, 1
5. 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) XML, because it automatically preserves spreadsheet formatting and charts.
B) JSON, because it stores hierarchical data and is designed for visual presentation in Excel.
C) SQL, because it directly converts tabular data into database tables that Excel can open.
D) CSV, because it stores tabular data in plain text and is compatible with spreadsheet applications.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: D |
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