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Python Institute PCED-30-02 Exam Syllabus Topics:

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

>> PCED-30-02模擬対策問題 <<

Python Institute PCED - Certified Entry-Level Data Analyst with Python 認定 PCED-30-02 試験問題 (Q40-Q45):

質問 # 40
A health researcher uses wearable devices to record physical activity and sends a survey to randomly selected participants across age groups.
Why can this approach be effective? Select the best answer.

A. It combines automated data collection with representative sampling, reducing the risk of bias.
B. It uses unstructured interviews to validate automated tracking, improving bias detection.
C. It relies on observational methods, which are more accurate than surveys or sensors.
D. It limits sampling to one demographic, ensuring high-quality data within a specific group.

正解：A

解説：
Combining automated wearable data with a randomly selected survey sample integrates objective measurements with representative participant input, which helps reduce bias and improves the reliability and generalizability of the findings.

質問 # 41
A financial technology company is reviewing its data practices to ensure legal and ethical compliance.
Which of the following actions would support responsible data handling and align with regulations like GDPR, HIPAA, and CCPA? (Choose two.)

A. Automatically opting users into data sharing unless they manually change settings.
B. Limiting data access only to marketing staff to streamline personalization.
C. Retaining user data permanently unless users explicitly request deletion.
D. Providing users with a clear explanation of how their data is used and obtaining explicit consent.
E. Implementing encryption for both stored and transmitted customer data.

正解：D、E

解説：
Encrypting stored and transmitted data protects sensitive information from unauthorized access and supports regulatory requirements for data security. Providing clear explanations of data usage and obtaining explicit consent ensures transparency and aligns with core principles of data protection regulations such as lawful processing and user rights.

質問 # 42
A list is defined as [1, 2, 3]. The programmer uses the method .append([4, 5]). What will the resulting list look like after execution?

A. [1,2,3,[4,5]]
B. [1,2,3,4,5]
C. [4,5,1,2,3]
D. Error

正解：A

解説：
The append() method adds its argument as a single element. Therefore, the list [4, 5] is added as one nested list, resulting in [1, 2, 3, [4, 5]].

質問 # 43
Which of the following statements about Python functions are correct? (Choose two.)

A. Positional arguments must be passed in the order defined, while keyword arguments can be passed in any order using their parameter names.
B. Default parameters must always come before required ones in the parameter list.
C. A function cannot call itself or be passed as an argument to itself.
D. passexecutes the function body and returns its result.
E. If a function does not contain a returnstatement, it returns Noneby default.
F. Functions can only return numeric values or strings.

正解：A、E

解説：
Positional arguments are matched to parameters by their position, so they must follow the defined order, while keyword arguments are matched by name and can be provided in any order. If a function completes without an explicit return statement, Python returns None automatically.

質問 # 44
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(round(math.mean(steps)))
print(math.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(math.stdev(steps))
print(statistics.mean(steps))
print(statistics.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

正解：B

解説：
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.

質問 # 45
......

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効果的なPCED-30-02模擬対策問題 &合格スムーズPCED-30-02試験解説 | 100％合格率のPCED-30-02認証資格PCED - Certified Entry-Level Data Analyst with Python

Python Institute PCED-30-02 Exam Syllabus Topics:

最新のPCED-30-02模擬対策問題試験-試験の準備方法-一番優秀なPCED-30-02試験解説

Python Institute PCED - Certified Entry-Level Data Analyst with Python 認定 PCED-30-02 試験問題 (Q40-Q45):