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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Weight	Objectives
Introduction to Data and Data Analysis Concepts	22.5%	- Data lifecycle and ethical considerations 1. Data collection, storage, processing, usage, and sharing 2. Privacy, security, bias, and fairness in data - Data types and measurement scales 1. Qualitative vs quantitative data 2. Nominal, ordinal, interval, ratio scales - Definition and classification of data 1. Difference between data, information, and knowledge 2. Role of data in decision-making and business 3. Process of turning raw data into insights - Basic statistical concepts 1. Descriptive vs inferential statistics 2. Population, sample, variable, observation
Python Basics for Data Analysis	32.5%	- Control flow and functions 1. Basic exception handling 2. Conditional statements, loops, iteration 3. Defining and calling functions, parameters, return values - Core Python syntax and data types 1. Variables, numbers, strings, booleans 2. Lists, tuples, sets, dictionaries - Introduction to NumPy 1. Arrays, basic operations, indexing, slicing - Built-in modules for data work 1. math, statistics, datetime, collections, csv
Data Visualization and Communication	20%	- Interpreting and presenting results 1. Deriving conclusions and insights 2. Reporting findings clearly and concisely - Creating basic visualizations 1. Line charts, bar charts, histograms, pie charts 2. Using text and simple plotting tools - Principles of effective data visualization 1. Clarity, simplicity, and accuracy 2. Choosing appropriate chart types
Working with Data and Performing Simple Analysis	25%	- Exploratory data analysis 1. Calculating mean, median, mode, range, variance, standard deviation 2. Identifying patterns, trends, and outliers - Data acquisition and loading 1. Importing data from external sources 2. Reading text, CSV, and structured files - Data aggregation and grouping 1. Summarizing and grouping datasets - Data cleaning and preparation 1. Formatting and standardizing values 2. Handling missing values, duplicates, and errors 3. Filtering, sorting, transforming data

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q50-Q55):

NEW QUESTION # 50
A healthcare provider analyzes patient records to determine that appointment cancellations spike during weather alerts and flu season.
What type of analytics is this?

A. Prescriptive analytics - it automates patient rescheduling based on cancellation patterns.
B. Diagnostic analytics - it identifies reasons behind patterns in patient behavior.
C. Predictive analytics - it uses weather and illness trends to forecast future cancellations.
D. Descriptive analytics - it reports appointment numbers across past seasons.

Answer: B

Explanation:
It examines existing data to understand why cancellations increase, identifying underlying causes such as weather alerts and flu season, which characterizes diagnostic analytics.

NEW QUESTION # 51
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. Retaining user data permanently unless users explicitly request deletion.
C. Limiting data access only to marketing staff to streamline personalization.
D. Automatically opting users into data sharing unless they manually change settings.
E. Providing users with a clear explanation of how their data is used and obtaining explicit consent.

Answer: A,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 # 52
A student writes a program using input() to collect user data, then tries to add 5 to the input value without conversion. The program crashes. What is the most likely cause of this behavior?

A. Syntax error
B. input returns string
C. input returns int
D. input returns float

Answer: B

Explanation:
The input() function always returns a string. Attempting to add an integer to a string causes a TypeError. The input must be explicitly converted using int() or float() before performing arithmetic operations.

NEW QUESTION # 53
A loop includes a break statement when a condition is met. The programmer wants to understand how break affects loop execution. What happens when break is executed inside the loop?

A. Error
B. Loop ends immediately
C. Loop restarts
D. Skips one iteration

Answer: B

Explanation:
The break statement immediately terminates the loop, regardless of remaining iterations. Control is transferred to the first statement following the loop block.

NEW QUESTION # 54
A list is reversed using slicing: lst[::-1]. The programmer wants to confirm whether this modifies the original list or creates a new one. What is the correct behavior?

A. Modifies original
B. Error
C. Creates new list
D. Returns None

Answer: C

Explanation:
Slicing creates a new list object rather than modifying the original. The expression lst[::-1] returns a reversed copy, leaving the original list unchanged.

NEW QUESTION # 55
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