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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Objectives
Data Analysis and Visualization	- Data visualization 1. Plot interpretation 2. Matplotlib basics - Data cleaning and preprocessing 1. Missing values handling 2. Data transformation techniques
Basic Statistics for Data Analysis	- Descriptive statistics 1. Variance and standard deviation 2. Mean, median, mode
Python Programming Fundamentals	- Basic syntax and data types 1. Control flow basics 2. Variables and operators
Data Handling and Processing with Python	- Working with data structures 1. Lists, tuples, dictionaries 2. Iterating and transformations - Data manipulation libraries 1. NumPy basics 2. Pandas fundamentals

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q18-Q23):

NEW QUESTION # 18
A Python script includes the expression not False and True. The developer is unsure how logical operators are evaluated in terms of precedence. What will be the final Boolean result of this expression?

A. False
B. Error
C. True
D. None

Answer: C

Explanation:
The not operator has higher precedence than and, so not False becomes True first. Then True and True is evaluated, resulting in True as the final Boolean value.

NEW QUESTION # 19
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. More time is spent commuting than on leisure.
C. Sleep and school take up the majority of time in a day.
D. Leisure and meals combined equal the time spent at school.
E. School and homework together take up half of the day's time.
F. Commuting is the second most time-consuming activity.

Answer: A,C

NEW QUESTION # 20
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))

Answer: C

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 # 21
What will be the output of the following code?

A. 5 10
B. 5 5
C. 10 5
D. 10 10

Answer: B

Explanation:
The function declares the variable as global and assigns it the value 5. When the function is called, it updates the global variable and returns 5, so both the returned value and the global variable printed afterward are 5.

NEW QUESTION # 22
A loop is designed using range(1, 6, 2) to iterate through numbers. The developer wants to know exactly which values will be generated during execution. Which sequence correctly represents the values produced?

A. 2, 4, 6
B. 1, 2, 3, 4, 5
C. 1, 3
D. 1, 3, 5

Answer: D

Explanation:
The range(start, stop, step) function generates numbers starting from 1, increasing by 2, and stopping before 6. Therefore, the resulting sequence is 1, 3, and 5.

NEW QUESTION # 23
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