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

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q19-Q24):

NEW QUESTION # 19
What will be the output of the following code?

A. 5 10
B. 5 5
C. 10 10
D. 10 5

Answer: B

Explanation:
The function declares the variable as global and assigns it the value 5. When the function is called, it updates the global variable and returns 5, so both the returned value and the global variable printed afterward are 5.

NEW QUESTION # 20
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. Diagnostic analytics - it identifies reasons behind patterns in patient behavior.
B. Descriptive analytics - it reports appointment numbers across past seasons.
C. Prescriptive analytics - it automates patient rescheduling based on cancellation patterns.
D. Predictive analytics - it uses weather and illness trends to forecast future cancellations.

Answer: A

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 # 21
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. Retaining user data permanently unless users explicitly request deletion.
B. Limiting data access only to marketing staff to streamline personalization.
C. Implementing encryption for both stored and transmitted customer data.
D. Providing users with a clear explanation of how their data is used and obtaining explicit consent.
E. Automatically opting users into data sharing unless they manually change settings.

Answer: C,D

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 # 22
Below are six possible summaries for your presentation:
- Summary 1: "The data revealed a moderate positive correlation between age and recycling frequency. While 72% of students reported recycling paper regularly, only 39% reported recycling plastic."
- Summary 2: "Analysis showed notable differences in recycling habits by material type, with paper being most recycled and plastic least recycled."
- Summary 3: "Older kids recycled more than younger ones. Paper was the most recycled item- plastic got forgotten a lot."
- Summary 4: "Student responses showed positive environmental habits overall, though participation varied by waste type."
- Summary 5: "A lot of students said they recycle. Some didn't answer every question, so we couldn't figure out everything."
- Summary 6: "We asked more than 300 students about recycling. Most said they recycle paper, but way fewer recycle plastic." Which communication style is the best fit for Group A (data scientists) and Group B (12-year- olds), respectively? Select the best answer.

A. Summary 1 for Group A, Summary 3 for Group B
B. Summary 6 for Group A, Summary 5 for Group B
C. Summary 2 for Group A. Summary 6 for Group B
D. Summary 6 for Group A, Summary 3 for Group B
E. Summary 4 for Group A, Summary 3 for Group B
F. Summary 1 for Group A, Summary 6 for Group B

Answer: A

Explanation:
The first summary uses precise statistical language and quantitative detail appropriate for data scientists. The third summary uses simpler, more conversational language that is easier for 12- year-olds to understand.

NEW QUESTION # 23
The following chart shows how a student spends 24 hours in a day:

Which statements are most accurate? (Choose two.)

A. More time is spent commuting than on leisure.
B. School and homework together take up half of the day's time.
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. Sleep and school take up the majority of time in a day.
F. Commuting is the second most time-consuming activity.

Answer: C,E

Explanation:
The largest portions of the chart are sleep and school, and together they clearly make up more than half of the day. Leisure appears as a mid-sized segment that is larger than commuting but smaller than school, fitting the description of a moderate portion.

NEW QUESTION # 24
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