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Python Institute PCED-30-02 Exam Syllabus Topics:

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

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q41-Q46):

NEW QUESTION # 41
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(math.stdev(steps))
print(statistics.mean(steps))
print(statistics.median(steps))
import statistics
B. import math
print(statistics.stdev(steps))
print(math.ceil(statistics.mean(steps)))
print(statistics.median(steps))
C. import math
print(statistics.stdev(steps))
print(round(math.mean(steps)))
print(math.median(steps))
import statistics
D. import math
print(statistics.variance(steps))
print(math.ceil(sum(steps) / len(steps)))
print(math.floor(statistics.median(steps)))
import statistics

Answer: B

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 # 42
A Python loop uses range(5, 0, -2) to iterate backward. The programmer expects a decreasing sequence. Which values will actually be generated when this loop runs?

A. 5, 4, 3, 2, 1
B. 4, 2, 0
C. 5, 3
D. 5, 3, 1

Answer: D

Explanation:
The range starts at 5 and decreases by 2 each step until it reaches a value greater than 0. The generated sequence is 5, 3, and 1.

NEW QUESTION # 43
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. 0
B. Error
C. None
D. 1

Answer: D

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 # 44
You are writing a function named process_data()to read and process numerical input from a file. The function must:
- read the file data.txt,
- attempt to convert the first line into an integer,
- handle file, conversion, or index-related exceptions,
- print the value only if no error occurs,
- and always print a final message after execution.
Which implementation correctly and robustly meets all these conditions? Select the best answer.

Answer: C

Explanation:
It wraps file reading and integer conversion in a try block, catches the relevant file, conversion, and indexing exceptions, prints the value only in the no-error path using an else block, and uses a finally block to always print the final message.

NEW QUESTION # 45
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. "Gamma and Omega were outliers that inflated the meeting average, but most teams finished about 3 projects per month."
B. "Teams with 5-6 weekly meetings tended to complete more projects than those with very high or very low meeting counts."
C. The more meetings a team had, the more projects they finished, especially in high-performing teams like Omega and Delta."
D. "Project completion numbers were nearly identical across all teams, averaging 3.25 per month."

Answer: B

Explanation:
Teams with moderate meeting counts around 5-6 per week (such as Alpha, Gamma, and Theta) completed among the highest numbers of projects, while teams with very high or very low meeting counts tended to complete fewer projects, indicating that moderate meeting frequency is associated with higher project completion.

NEW QUESTION # 46
......

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