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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Introduction to Data and Data Analysis Concepts	22.5%	- Basic statistical concepts 1. Population, sample, variable, observation 2. Descriptive vs inferential statistics - 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. Process of turning raw data into insights 3. Role of data in decision-making and business - Data lifecycle and ethical considerations 1. Privacy, security, bias, and fairness in data 2. Data collection, storage, processing, usage, and sharing
Topic 2: Data Visualization and Communication	20%	- Interpreting and presenting results 1. Reporting findings clearly and concisely 2. Deriving conclusions and insights - Creating basic visualizations 1. Using text and simple plotting tools 2. Line charts, bar charts, histograms, pie charts - Principles of effective data visualization 1. Clarity, simplicity, and accuracy 2. Choosing appropriate chart types
Topic 3: 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 cleaning and preparation 1. Formatting and standardizing values 2. Handling missing values, duplicates, and errors 3. Filtering, sorting, transforming data - Data acquisition and loading 1. Reading text, CSV, and structured files 2. Importing data from external sources - Data aggregation and grouping 1. Summarizing and grouping datasets
Topic 4: Python Basics for Data Analysis	32.5%	- Built-in modules for data work 1. math, statistics, datetime, collections, csv - 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 - Control flow and functions 1. Defining and calling functions, parameters, return values 2. Conditional statements, loops, iteration 3. Basic exception handling

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q36-Q41):

NEW QUESTION # 36
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: D

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 # 37
A loop is designed using range(1, 6, 2) to iterate through numbers. The developer wants to know exactly which values will be generated during execution. Which sequence correctly represents the values produced?

A. 1, 3, 5
B. 1, 2, 3, 4, 5
C. 1, 3
D. 2, 4, 6

Answer: A

Explanation:
The range(start, stop, step) function generates numbers starting from 1, increasing by 2, and stopping before 6. Therefore, the resulting sequence is 1, 3, and 5.

NEW QUESTION # 38
The following chart shows how a student spends 24 hours in a day:

Which statements are most accurate? (Choose two.)

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

Answer: C,F

NEW QUESTION # 39
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. Providing users with a clear explanation of how their data is used and obtaining explicit consent.
B. Limiting data access only to marketing staff to streamline personalization.
C. Implementing encryption for both stored and transmitted customer data.
D. Automatically opting users into data sharing unless they manually change settings.
E. Retaining user data permanently unless users explicitly request deletion.

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 # 40
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. Predictive analytics - it uses weather and illness trends to forecast future cancellations.
B. Diagnostic analytics - it identifies reasons behind patterns in patient behavior.
C. Prescriptive analytics - it automates patient rescheduling based on cancellation patterns.
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 # 41
......

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