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Python Institute PCED-30-02 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Basic Statistics for Data Analysis | - Descriptive statistics
|
| Topic 2: Data Analysis and Visualization | - Data visualization
|
| Topic 3: Python Programming Fundamentals | - Basic syntax and data types
|
| Topic 4: Data Handling and Processing with Python | - Data manipulation libraries
|
Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:
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
Correct Answer: D 🗳️
Explanation: Only visible for TestPassed members. You can sign-up / login (it's free).
Below are six possible summaries for your presentation:
- Summary 1: "The data revealed a moderate positive correlation between age and recycling frequency. While 72% of students reported recycling paper regularly, only 39% reported recycling plastic."
- Summary 2: "Analysis showed notable differences in recycling habits by material type, with paper being most recycled and plastic least recycled."
- Summary 3: "Older kids recycled more than younger ones. Paper was the most recycled item- plastic got forgotten a lot."
- Summary 4: "Student responses showed positive environmental habits overall, though participation varied by waste type."
- Summary 5: "A lot of students said they recycle. Some didn't answer every question, so we couldn't figure out everything."
- Summary 6: "We asked more than 300 students about recycling. Most said they recycle paper, but way fewer recycle plastic." Which communication style is the best fit for Group A (data scientists) and Group B (12-year- olds), respectively? Select the best answer.
- A. Summary 1 for Group A, Summary 6 for Group B
- B. Summary 4 for Group A, Summary 3 for Group B
- C. Summary 2 for Group A. Summary 6 for Group B
- D. Summary 6 for Group A, Summary 3 for Group B
- E. Summary 6 for Group A, Summary 5 for Group B
- F. Summary 1 for Group A, Summary 3 for Group B
Correct Answer: F 🗳️
Explanation: Only visible for TestPassed members. You can sign-up / login (it's free).
Consider a Python program that assigns a string value "5" to a variable and then attempts to multiply it by an integer 3. The programmer expects numeric multiplication. What will actually happen when the code is executed?
- A. 8
- B. Error
- C. "555"
- D. 15
Correct Answer: C 🗳️
Explanation: Only visible for TestPassed members. You can sign-up / login (it's free).
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(statistics.stdev(steps))
print(math.ceil(statistics.mean(steps)))
print(statistics.median(steps)) - B. import math
print(math.stdev(steps))
print(statistics.mean(steps))
print(statistics.median(steps))
import statistics - C. import math
print(statistics.stdev(steps))
print(round(math.mean(steps)))
print(math.median(steps))
import statistics - D. import math
print(statistics.variance(steps))
print(math.ceil(sum(steps) / len(steps)))
print(math.floor(statistics.median(steps)))
import statistics
Correct Answer: A 🗳️
Explanation: Only visible for TestPassed members. You can sign-up / login (it's free).
You have collected sales data and want to compute the average using the NumPy library.
Which option correctly shows how to install NumPy and use it in your code to perform this task?
- A. To install NumPy:
pip install numpy as np
Then run this code:
import np
data = np.array([10, 20, 30])
print(np.mean(data)) - B. To install NumPy:
pip install numpy
Then run this code:
import numpy as np
data = numpy.arr([10, 20, 30])
print(numpy.mean(data)) - C. To install NumPy:
from pip install numpy
Then run this code:
import numpy as np
data = np.array([10, 20, 30])
print(np.mean(data))
Correct Answer: C 🗳️
Explanation: Only visible for TestPassed members. You can sign-up / login (it's free).
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