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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. 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 - 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
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 Analysis with Python Libraries 1. Perform basic operations with NumPy arrays 2. Use the math and statistics modules for basic calculations 3. Work with the datetime module for date/time data 4. Utilize the collections module for specialized containers - Data Cleaning and Transformation 1. Perform basic data transformation (filtering, sorting, grouping) 2. Handle missing and inconsistent data
Python Basics for Data Analysis	32.5%	- Data Structures 1. Work with lists, tuples, dictionaries, and sets 2. Apply common operations and methods to data structures - Python Fundamentals 1. Define and use functions 2. Implement control flow structures (loops, conditionals) 3. Use variables, data types, and basic operators - File Handling 1. Read from and write to files (text, CSV) 2. Use the csv module for basic CSV operations
Communicating Insights and Reporting	12.5%	- 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 - Data Visualization 1. Interpret simple data visualizations 2. Select appropriate visuals for different data types 3. Recognize common visualization types (bar, line, pie charts)

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q43-Q48):

NEW QUESTION # 43
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: A

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 # 44
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.

Answer: D,E

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 # 45
Which of the following code snippets will output Truefor both printfunctions by correctly identifying the type of each variable and performing valid operations?

Answer: C

Explanation:
Adding an integer and a float produces a float result, so checking that the type of the sum is float evaluates to True. The variable holding 3.0 is a float, so the isinstance check for float also evaluates to True.

NEW QUESTION # 46
Which of the following statements about Python functions are correct? (Choose two.)

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

Answer: B,E

Explanation:
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.

NEW QUESTION # 47
An online retailer collects customer reviews, order transaction logs, and product ratings.
Which of the following correctly classifies these types of data? Select the best answer.

A. Product ratings are quantitative and unstructured; customer reviews are structured and qualitative; transaction logs are quantitative and unstructured.
B. Product ratings are qualitative and unstructured; customer reviews are quantitative and structured; transaction logs are semi-structured and qualitative.
C. Product ratings are quantitative and structured; customer reviews are qualitative and unstructured; transaction logs are structured and quantitative
D. Product ratings are qualitative and structured; customer reviews are qualitative and unstructured; transaction logs are quantitative and semi-structured.

Answer: C

Explanation:
Product ratings are numeric values stored in fixed fields, making them quantitative and structured.
Customer reviews are free-text responses, which are qualitative and unstructured. Transaction logs consist of organized records with defined fields such as order ID, date, and amount, making them structured and quantitative.

NEW QUESTION # 48
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