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| Section | Weight | Objectives |
|---|
| Working with Data and Performing Simple Analyses | 32.5% | - Simple Analytical Techniques
- 1. Calculate descriptive statistics (mean, median, mode)
- 2. Identify basic patterns and trends in data
- Data Analysis with Python Libraries
- 1. Work with the datetime module for date/time data
- 2. Perform basic operations with NumPy arrays
- 3. Use the math and statistics modules for basic calculations
- 4. Utilize the collections module for specialized containers
- Data Cleaning and Transformation
- 1. Handle missing and inconsistent data
- 2. Perform basic data transformation (filtering, sorting, grouping)
|
| Python Basics for Data Analysis | 32.5% | - File Handling
- 1. Read from and write to files (text, CSV)
- 2. Use the csv module for basic CSV operations
- Data Structures
- 1. Work with lists, tuples, dictionaries, and sets
- 2. Apply common operations and methods to data structures
- Python Fundamentals
- 1. Implement control flow structures (loops, conditionals)
- 2. Use variables, data types, and basic operators
- 3. Define and use functions
|
| Communicating Insights and Reporting | 12.5% | - Data Visualization
- 1. Select appropriate visuals for different data types
- 2. Recognize common visualization types (bar, line, pie charts)
- 3. Interpret simple data visualizations
- 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
|
| Introduction to Data and Data Analysis Concepts | 22.5% | - Define and Classify Data
- 1. Differentiate structured, semi-structured, and unstructured data
- 2. Explain how data becomes meaningful
- 3. Classify data as quantitative or qualitative
- Data Analysis Process and Workflow
- 1. Describe the steps of the data analysis process
- 2. Explain the role of data cleaning and preparation
- 3. Identify common data sources and collection methods
- Data Ethics and Privacy
- 1. Understand basic data privacy concepts
- 2. Recognize ethical considerations in data handling
|
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Quiz 2026 Python Institute Reliable PCED-30-02: PCED - Certified Entry-Level Data Analyst with Python Exam Papers
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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q27-Q32):
NEW QUESTION # 27
You have collected sales data and want to compute the average using the NumPy library.
Which option correctly shows how to install NumPy and use it in your code to perform this task?
- A. To install NumPy:
pip install numpy as np
Then run this code:
import np
data = np.array([10, 20, 30])
print(np.mean(data)) - B. To install NumPy:
from pip install numpy
Then run this code:
import numpy as np
data = np.array([10, 20, 30])
print(np.mean(data)) - C. To install NumPy:
pip install numpy
Then run this code:
import numpy as np
data = numpy.arr([10, 20, 30])
print(numpy.mean(data))
Answer: B
Explanation:
NumPy is installed with pip install numpy, then imported with import numpy as np. After that, you can create an array and compute the mean using np.array(...) and np.mean(...).
NEW QUESTION # 28
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: C
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 # 29
A Python script includes the expression not False and True. The developer is unsure how logical operators are evaluated in terms of precedence. What will be the final Boolean result of this expression?
- A. Error
- B. False
- C. True
- D. None
Answer: C
Explanation:
The not operator has higher precedence than and, so not False becomes True first. Then True and True is evaluated, resulting in True as the final Boolean value.
NEW QUESTION # 30
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 # 31
You want to safely read the contents of a file named records.txtand store them in a list. Your requirements are:
- The file should be automatically closed after reading,
- The code should check whether the file exists before opening it, and
- It should handle missing file errors gracefully.
Which of the following is the most appropriate way to accomplish this task in Python? Select the best answer.
Answer: A
Explanation:
It uses a context manager to automatically close the file after reading and wraps the operation in a try-except block to gracefully handle a missing file error, assigning an empty list if the file is not found.
NEW QUESTION # 32
......
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