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Python Institute PCED-30-02 Exam Syllabus Topics:

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

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q31-Q36):

NEW QUESTION # 31
How do the analysis and visualization stages of the data lifecycle typically work together?

A. Analysis retrieves raw inputs from dashboards, while visualization uses that input to clean the data.
B. Analysis identifies patterns and insights in processed data, which are then communicated through visualizations for informed decision-making.
C. Analysis produces charts and graphs, while visualization interprets the data to detect outliers.
D. Analysis summarizes archived data, and visualization transforms it into structured tables for storage.

Answer: B

Explanation:
Analysis involves examining processed data to uncover patterns, trends, and insights, and visualization presents those findings in graphical form so stakeholders can clearly understand and act on the results.

NEW QUESTION # 32
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 # 33
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, 3
B. 5, 3, 1
C. 5, 4, 3, 2, 1
D. 4, 2, 0

Answer: B

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 # 34
You have a list of test scores, where each entry includes a student name and a score. Some students appear more than once. You want to compute the average score for each student and store the results in a dictionary. Here's the partial code block:

Which code correctly replaces the # MISSING CODE comment to calculate the average score for each student? Select the best answer.

Answer: C

Explanation:
It iterates through each record, extracts the name and score, and uses dictionary .get() to accumulate total scores and counts per student safely, initializing missing keys to zero. This correctly enables calculation of each student's average afterward.

NEW QUESTION # 35
A program uses while False: followed by print statements inside the loop. The developer expects output. What will actually happen during execution?

A. No execution
B. Infinite loop
C. Prints once
D. Error

Answer: A

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 # 36
......

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