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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Introduction to Data and Data Analysis Concepts	22.5%	- Data Analysis Process and Workflow 1. Describe the steps of the data analysis process 2. Identify common data sources and collection methods 3. Explain the role of data cleaning and preparation - Data Ethics and Privacy 1. Recognize ethical considerations in data handling 2. Understand basic data privacy concepts - Define and Classify Data 1. Classify data as quantitative or qualitative 2. Explain how data becomes meaningful 3. Differentiate structured, semi-structured, and unstructured data
Topic 2: Communicating Insights and Reporting	12.5%	- Data Visualization 1. Interpret simple data visualizations 2. Select appropriate visuals for different data types 3. Recognize common visualization types (bar, line, pie charts) - Data Storytelling and Reporting 1. Present insights with visual and verbal techniques 2. Structure insights as a narrative 3. Create clear and concise analytical reports
Topic 3: Python Basics for Data Analysis	32.5%	- File Handling 1. Use the csv module for basic CSV operations 2. Read from and write to files (text, CSV) - Data Structures 1. Work with lists, tuples, dictionaries, and sets 2. Apply common operations and methods to data structures - Python Fundamentals 1. Implement control flow structures (loops, conditionals) 2. Define and use functions 3. Use variables, data types, and basic operators
Topic 4: Working with Data and Performing Simple Analyses	32.5%	- Data Cleaning and Transformation 1. Handle missing and inconsistent data 2. Perform basic data transformation (filtering, sorting, grouping) - Data Analysis with Python Libraries 1. Utilize the collections module for specialized containers 2. Use the math and statistics modules for basic calculations 3. Work with the datetime module for date/time data 4. Perform basic operations with NumPy arrays - Simple Analytical Techniques 1. Calculate descriptive statistics (mean, median, mode) 2. Identify basic patterns and trends in data

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q34-Q39):

NEW QUESTION # 34
A variable is assigned using chained assignment: a = b = c = 10. The developer then changes b =
5. What will be the value of a after this operation?

A. Error
B. 0
C. 1
D. None

Answer: C

Explanation:
Integers are immutable in Python. Reassigning b to a new value does not affect a or c, which still reference the original integer value 10.

NEW QUESTION # 35
The following chart shows how a student spends 24 hours in a day:

Which statements are most accurate? (Choose two.)

A. Sleep and school take up the majority of time in a day.
B. Commuting is the second most time-consuming activity.
C. Leisure accounts for a moderate portion of the student's daily schedule, larger than commuting but smaller than the time spent at school.
D. More time is spent commuting than on leisure.
E. School and homework together take up half of the day's time.
F. Leisure and meals combined equal the time spent at school.

Answer: A,C

Explanation:
The largest portions of the chart are sleep and school, and together they clearly make up more than half of the day. Leisure appears as a mid-sized segment that is larger than commuting but smaller than school, fitting the description of a moderate portion.

NEW QUESTION # 36
You are given a short Python script that uses both arithmetic and assignment operators. The variable x is initialized as 4, then updated using x *= 2 + 3. What will be printed when the final value of x is displayed?

A. 0
B. 1
C. 2
D. 3

Answer: B

Explanation:
Python evaluates the addition first because of operator precedence. The expression 2 + 3 equals
5, then x *= 5 multiplies the current value of x (4) by 5, resulting in a final value of 20.

NEW QUESTION # 37
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(statistics.variance(steps))
print(math.ceil(sum(steps) / len(steps)))
print(math.floor(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(math.stdev(steps))
print(statistics.mean(steps))
print(statistics.median(steps))
import statistics

Answer: A

Explanation:
It uses statistics.stdev() to compute the standard deviation, statistics.mean() to compute the average and math.ceil() to round it up to the nearest whole number, and statistics.median() to compute the median.

NEW QUESTION # 38
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 chart should be in 3D format to show depth and highlight differences more clearly.
B. The graph doesn't explain what each stress level means or show exact values for each month, which limits interpretation.
C. The font used in the chart is hard to read; using larger, uppercase text would improve clarity.
D. The lines are too light and similar in color, making it difficult to distinguish between trends.
E. The months should be replaced with week numbers to provide more detailed insight.

Answer: D

Explanation:
The lines are very light and visually similar, making it difficult to clearly distinguish between the different stress level trends, which directly reduces the effectiveness of the visualization in communicating patterns over time.

NEW QUESTION # 39
......

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