PCED-30-02 exam braindumps: PCED - Certified Entry-Level Data Analyst with Python & PCED-30-02 study guide

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| Section | Objectives |
|---|
| Data Analysis and Visualization | - Data visualization
- 1. Matplotlib basics
- 2. Plot interpretation
- Data cleaning and preprocessing
- 1. Data transformation techniques
- 2. Missing values handling
|
| Data Handling and Processing with Python | - Working with data structures
- 1. Iterating and transformations
- 2. Lists, tuples, dictionaries
- Data manipulation libraries
- 1. NumPy basics
- 2. Pandas fundamentals
|
| Basic Statistics for Data Analysis | - Descriptive statistics
- 1. Mean, median, mode
- 2. Variance and standard deviation
|
| Python Programming Fundamentals | - Basic syntax and data types
- 1. Control flow basics
- 2. Variables and operators
|
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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q31-Q36):
NEW QUESTION # 31
A script attempts to divide two numbers using / and //. The values are 7 and 2. The developer wants to understand the difference between true division and floor division. What are the results respectively?
- A. 3 and 4
- B. 3.5 and 3
- C. 4 and 3
- D. 3 and 3.5
Answer: B
Explanation:
The / operator performs true division, returning a float result of 3.5. The // operator performs floor division, truncating the decimal part and returning the integer value 3.
NEW QUESTION # 32
A program uses while False: followed by print statements inside the loop. The developer expects output. What will actually happen during execution?
- A. Error
- B. No execution
- C. Prints once
- D. Infinite loop
Answer: B
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 # 33
The following chart shows how a student spends 24 hours in a day:

Which statements are most accurate? (Choose two.)
- A. Leisure accounts for a moderate portion of the student's daily schedule, larger than commuting but smaller than the time spent at school.
- B. Commuting is the second most time-consuming activity.
- C. More time is spent commuting than on leisure.
- D. School and homework together take up half of the day's time.
- E. Sleep and school take up the majority of time in a day.
- F. Leisure and meals combined equal the time spent at school.
Answer: A,E
NEW QUESTION # 34
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:
from pip install numpy
Then run this code:
import numpy as np
data = np.array([10, 20, 30])
print(np.mean(data)) - B. To install NumPy:
pip install numpy as np
Then run this code:
import np
data = np.array([10, 20, 30])
print(np.mean(data)) - C. To install NumPy:
pip install numpy
Then run this code:
import numpy as np
data = numpy.arr([10, 20, 30])
print(numpy.mean(data))
Answer: A
Explanation:
NumPy is installed with pip install numpy, then imported with import numpy as np. After that, you can create an array and compute the mean using np.array(...) and np.mean(...).
NEW QUESTION # 35
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
Answer: D
Explanation:
A bar chart is best for comparing quantities across distinct categories, such as the number of students in each club, because it clearly shows differences in counts side by side.
NEW QUESTION # 36
......
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