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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: 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. Select appropriate visuals for different data types 2. Interpret simple data visualizations 3. Recognize common visualization types (bar, line, pie charts)
Topic 2: Working with Data and Performing Simple Analyses	32.5%	- Data Cleaning and Transformation 1. Perform basic data transformation (filtering, sorting, grouping) 2. Handle missing and inconsistent data - 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. Work with the datetime module for date/time data 3. Perform basic operations with NumPy arrays 4. Utilize the collections module for specialized containers
Topic 3: Python Basics for Data Analysis	32.5%	- Python Fundamentals 1. Implement control flow structures (loops, conditionals) 2. Use variables, data types, and basic operators 3. Define and use functions - Data Structures 1. Work with lists, tuples, dictionaries, and sets 2. Apply common operations and methods to data structures - File Handling 1. Use the csv module for basic CSV operations 2. Read from and write to files (text, CSV)
Topic 4: Introduction to Data and Data Analysis Concepts	22.5%	- Data Ethics and Privacy 1. Understand basic data privacy concepts 2. Recognize ethical considerations in data handling - 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. Describe the steps of the data analysis process 2. Identify common data sources and collection methods 3. Explain the role of data cleaning and preparation

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q12-Q17):

NEW QUESTION # 12
A Python loop uses range(5, 0, -2) to iterate backward. The programmer expects a decreasing sequence. Which values will actually be generated when this loop runs?

A. 5, 4, 3, 2, 1
B. 4, 2, 0
C. 5, 3, 1
D. 5, 3

Answer: C

Explanation:
The range starts at 5 and decreases by 2 each step until it reaches a value greater than 0. The generated sequence is 5, 3, and 1.

NEW QUESTION # 13
A Python developer is testing truth values of different data types using the bool() function. The expression bool([0]) is evaluated in the script. What result should be expected when this expression is printed?

A. False
B. True
C. Error
D. None

Answer: B

Explanation:
In Python, any non-empty list evaluates to True in a Boolean context. Even though the element inside the list is zero, the list itself is not empty, so the result is True.

NEW QUESTION # 14
You are creating a presentation slide to communicate findings about student stress levels across four categories over a six-month period. You include the following line graph in your presentation:

Your goal is to help your audience clearly understand trends in stress levels over time.
What is the highest problem with this visual presentation? Select the best answer.

A. The months should be replaced with week numbers to provide more detailed insight.
B. The graph doesn't explain what each stress level means or show exact values for each month, which limits interpretation.
C. The font used in the chart is hard to read; using larger, uppercase text would improve clarity.
D. The lines are too light and similar in color, making it difficult to distinguish between trends.
E. The chart should be in 3D format to show depth and highlight differences more clearly.

Answer: D

Explanation:
The lines are very light and visually similar, making it difficult to clearly distinguish between the different stress level trends, which directly reduces the effectiveness of the visualization in communicating patterns over time.

NEW QUESTION # 15
An e-commerce site records every product view and purchase.
Which of the following best describes how these logs become marketing insights?

A. Raw event logs are stored, archived, and indexed - like by user ID and session - which then facilitate audit trails.
B. Raw event logs are filtered, aggregated, and formatted into summaries - like total visits per category - which then provide traffic reports.
C. Raw event logs are structured, analyzed, and interpreted into information - like conversion rates by product - which then builds knowledge of customer preferences.
D. Raw event logs are validated, organized, and compiled into datasets - like timestamped user actions - which then support system debugging.

Answer: C

Explanation:
Marketing insights are produced when raw event logs are structured, analyzed, and interpreted to generate meaningful metrics such as conversion rates. These interpreted results transform data into actionable knowledge about customer behavior and preferences.

NEW QUESTION # 16
You are reading a data.csvfile line by line. To prepare each line for formatting with f-strings, you need to remove extra whitespace and split the values by commas.
Which line should you insert to correctly clean and parse the input?

A. fields = line.strip().split(', ')
B. fields = line.split().strip(', ')
C. fields = line.replace(', ', '|').split('|')
D. fields = line.split(', ').trim()

Answer: A

Explanation:
Stripping removes leading and trailing whitespace from the line, and then splitting on the comma- space delimiter correctly separates the values into a list for further formatting.

NEW QUESTION # 17
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