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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Weight	Objectives
Python Basics for Data Analysis	32.5%	- Data Structures 1. Apply common operations and methods to data structures 2. Work with lists, tuples, dictionaries, and sets - 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)
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. Use the math and statistics modules for basic calculations 2. Perform basic operations with NumPy arrays 3. Utilize the collections module for specialized containers 4. Work with the datetime module for date/time data - Data Cleaning and Transformation 1. Handle missing and inconsistent data 2. Perform basic data transformation (filtering, sorting, grouping)
Introduction to Data and Data Analysis Concepts	22.5%	- Define and Classify Data 1. Classify data as quantitative or qualitative 2. Differentiate structured, semi-structured, and unstructured data 3. Explain how data becomes meaningful - 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 - Data Ethics and Privacy 1. Understand basic data privacy concepts 2. Recognize ethical considerations in data handling
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. Interpret simple data visualizations 2. Recognize common visualization types (bar, line, pie charts) 3. Select appropriate visuals for different data types

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q39-Q44):

NEW QUESTION # 39
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: C

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 # 40
A programmer writes a script to test operator precedence using the expression 3 + 4 * 2 ** 2. The goal is to evaluate the result correctly based on Python's operator hierarchy rules. What result should the script produce?

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

Answer: C

Explanation:
Exponentiation is evaluated first, so 2 ** 2 equals 4. Then multiplication 4 * 4 equals 16. Finally, addition is performed: 3 + 16 results in 19.

NEW QUESTION # 41
Which task is traditionally or typically performed by a data analyst, and not by a data scientist or analytics specialist? Select the best answer.

A. Developing machine learning algorithms to predict user behavior.
B. Designing a data pipeline to ingest and process real-time sensor data.
C. Recommending pricing strategies using predictive modeling and A/B testing.
D. Creating summary tables and charts to describe patterns in historical data.

Answer: D

Explanation:
Creating summary tables and charts to describe patterns in historical data is a core responsibility of a data analyst, focusing on descriptive analytics and reporting rather than building predictive models, machine learning systems, or engineering data pipelines.

NEW QUESTION # 42
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. Implementing encryption for both stored and transmitted customer data.
B. Automatically opting users into data sharing unless they manually change settings.
C. Providing users with a clear explanation of how their data is used and obtaining explicit consent.
D. Retaining user data permanently unless users explicitly request deletion.
E. Limiting data access only to marketing staff to streamline personalization.

Answer: A,C

Explanation:
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.

NEW QUESTION # 43
The following chart shows how a student spends 24 hours in a day:

Which statements are most accurate? (Choose two.)

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

Answer: C,D

NEW QUESTION # 44
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