Python Institute - Latest PCED-30-02 - Valid PCED - Certified Entry-Level Data Analyst with Python Exam Voucher

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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Python Basics for Data Analysis	32.5%	- Python Fundamentals 1. Define and use functions 2. Use variables, data types, and basic operators 3. Implement control flow structures (loops, conditionals) - Data Structures 1. Apply common operations and methods to data structures 2. Work with lists, tuples, dictionaries, and sets - File Handling 1. Use the csv module for basic CSV operations 2. Read from and write to files (text, CSV)
Topic 2: Communicating Insights and Reporting	12.5%	- Data Visualization 1. Interpret simple data visualizations 2. Select appropriate visuals for different data types 3. Recognize common visualization types (bar, line, pie charts) - Data Storytelling and Reporting 1. Create clear and concise analytical reports 2. Present insights with visual and verbal techniques 3. Structure insights as a narrative
Topic 3: Working with Data and Performing Simple Analyses	32.5%	- Data Analysis with Python Libraries 1. Perform basic operations with NumPy arrays 2. Utilize the collections module for specialized containers 3. Use the math and statistics modules for basic calculations 4. Work with the datetime module for date/time data - Simple Analytical Techniques 1. Calculate descriptive statistics (mean, median, mode) 2. Identify basic patterns and trends in data - Data Cleaning and Transformation 1. Perform basic data transformation (filtering, sorting, grouping) 2. Handle missing and inconsistent data
Topic 4: Introduction to Data and Data Analysis Concepts	22.5%	- 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 - Data Ethics and Privacy 1. Recognize ethical considerations in data handling 2. Understand basic data privacy concepts - Define and Classify Data 1. Explain how data becomes meaningful 2. Classify data as quantitative or qualitative 3. Differentiate structured, semi-structured, and unstructured data

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q11-Q16):

NEW QUESTION # 11
A program compares two values using == and is. The variables a = 256 and b = 256 are defined.
What is the expected result of a is b in most Python implementations?

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

Answer: D

Explanation:
Python caches small integers for efficiency. Since 256 is typically within the cached range, both variables reference the same object in memory, making a is b evaluate to True.

NEW QUESTION # 12
You are given two lists representing daily page views and sign-ups on a website:
views = [120, 130, 128, 700, 115, 123, 119, 680, 122]
signups = [12, 15, 13, 50, 11, 14, 10, 55, 13]
You want to:
- remove outliers (views > 600), and
- calculate correlation between the cleaned lists.
Which code accomplishes this correctly? Select the best answer.

Answer: A

Explanation:
It converts the lists to NumPy arrays, builds a boolean mask based on the views threshold to remove outliers, applies the same mask to both arrays so they stay aligned, and then computes the correlation on the cleaned pairs using np.corrcoef.

NEW QUESTION # 13
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. Descriptive analytics - it reports appointment numbers across past seasons.
B. Prescriptive analytics - it automates patient rescheduling based on cancellation patterns.
C. Predictive analytics - it uses weather and illness trends to forecast future cancellations.
D. Diagnostic analytics - it identifies reasons behind patterns in patient behavior.

Answer: D

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 # 14
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. 2, 4, 6
B. 1, 2, 3, 4, 5
C. 1, 3, 5
D. 1, 3

Answer: C

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 # 15
Consider the following Python code:

What will be printed when the code above is executed?
40

A. [20, 30, 40]
1
[1, 2, 4, 5, 6]
B. [10, 20, 30, 40]
1
[1, 2, 4, 5, 6]
50
C. [10, 20, 30, 40]
0
[1, 2, 3, 4, 5, 6]
50
D. [20, 30, 40]
1
[1, 2, 4, 5, 6]
50

Answer: A

Explanation:
The last element of the original list is 50. The slice from index 1 up to (but not including) index 4 is
[20, 30, 40]. After removing 30 and appending 60, the list contains one occurrence of 10, and integer division by 10 produces [1, 2, 4, 5, 6].

NEW QUESTION # 16
......

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