Python Institute PCED - Certified Entry-Level Data Analyst with Python : PCED-30-02

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Python Institute PCED-30-02 Exam Syllabus Topics:

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

Question 1

You are given two lists representing daily page views and sign-ups on a website:
views = [120, 130, 128, 700, 115, 123, 119, 680, 122]
signups = [12, 15, 13, 50, 11, 14, 10, 55, 13]
You want to:
- remove outliers (views > 600), and
- calculate correlation between the cleaned lists.
Which code accomplishes this correctly? Select the best answer.

A.

B.

C.

D.

Question 2

You are reviewing a report that compares the number of weekly client meetings and project completion rates across teams. The table below summarizes the data for each team:

Which statement best describes the data shown above? Select the best answer.

A. "Teams with 5-6 weekly meetings tended to complete more projects than those with very high or very low meeting counts."
B. The more meetings a team had, the more projects they finished, especially in high-performing teams like Omega and Delta."
C. "Project completion numbers were nearly identical across all teams, averaging 3.25 per month."
D. "Gamma and Omega were outliers that inflated the meeting average, but most teams finished about 3 projects per month."

Question 3

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
Then run this code:
import numpy as np
data = numpy.arr([10, 20, 30])
print(numpy.mean(data))
B. 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))
C. To install NumPy:
pip install numpy as np
Then run this code:
import np
data = np.array([10, 20, 30])
print(np.mean(data))

Question 4

Which task is traditionally or typically performed by a data analyst, and not by a data scientist or analytics specialist? Select the best answer.

A. Designing a data pipeline to ingest and process real-time sensor data.
B. Recommending pricing strategies using predictive modeling and A/B testing.
C. Creating summary tables and charts to describe patterns in historical data.
D. Developing machine learning algorithms to predict user behavior.

Question 5

You are creating a presentation slide to communicate findings about student stress levels across four categories over a six-month period. You include the following line graph in your presentation:

Your goal is to help your audience clearly understand trends in stress levels over time.
What is the highest problem with this visual presentation? Select the best answer.

A. The graph doesn't explain what each stress level means or show exact values for each month, which limits interpretation.
B. The chart should be in 3D format to show depth and highlight differences more clearly.
C. The months should be replaced with week numbers to provide more detailed insight.
D. The lines are too light and similar in color, making it difficult to distinguish between trends.
E. The font used in the chart is hard to read; using larger, uppercase text would improve clarity.

Solutions: