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

1. 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) 15
D) "555"

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) Bar chart
B) Pie chart
C) Line chart
D) Bubble chart

3. A healthcare provider analyzes patient records to determine that appointment cancellations spike during weather alerts and flu season.
What type of analytics is this?

A) Descriptive analytics - it reports appointment numbers across past seasons.
B) Prescriptive analytics - it automates patient rescheduling based on cancellation patterns.
C) Diagnostic analytics - it identifies reasons behind patterns in patient behavior.
D) Predictive analytics - it uses weather and illness trends to forecast future cancellations.

4. 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 6 for Group A, Summary 5 for Group B
B) Summary 1 for Group A, Summary 3 for Group B
C) Summary 1 for Group A, Summary 6 for Group B
D) Summary 4 for Group A, Summary 3 for Group B
E) Summary 6 for Group A, Summary 3 for Group B
F) Summary 2 for Group A. Summary 6 for Group B

5. 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)

Solutions: