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| Section | Objectives |
|---|
| Topic 1: Basic Statistics for Data Analysis | - Descriptive statistics
- 1. Mean, median, mode
- 2. Variance and standard deviation
|
| Topic 2: Data Handling and Processing with Python | - Working with data structures
- 1. Iterating and transformations
- 2. Lists, tuples, dictionaries
- Data manipulation libraries
- 1. NumPy basics
- 2. Pandas fundamentals
|
| Topic 3: Python Programming Fundamentals | - Basic syntax and data types
- 1. Control flow basics
- 2. Variables and operators
|
| Topic 4: Data Analysis and Visualization | - Data cleaning and preprocessing
- 1. Missing values handling
- 2. Data transformation techniques
- Data visualization
- 1. Matplotlib basics
- 2. Plot interpretation
|
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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q11-Q16):
NEW QUESTION # 11
An online retailer collects customer reviews, order transaction logs, and product ratings.
Which of the following correctly classifies these types of data? Select the best answer.
- A. Product ratings are quantitative and structured; customer reviews are qualitative and unstructured; transaction logs are structured and quantitative
- B. Product ratings are qualitative and unstructured; customer reviews are quantitative and structured; transaction logs are semi-structured and qualitative.
- C. Product ratings are qualitative and structured; customer reviews are qualitative and unstructured; transaction logs are quantitative and semi-structured.
- D. Product ratings are quantitative and unstructured; customer reviews are structured and qualitative; transaction logs are quantitative and unstructured.
Answer: A
Explanation:
Product ratings are numeric values stored in fixed fields, making them quantitative and structured.
Customer reviews are free-text responses, which are qualitative and unstructured. Transaction logs consist of organized records with defined fields such as order ID, date, and amount, making them structured and quantitative.
NEW QUESTION # 12
You are developing a temperature control module for a laboratory incubator. Your objectives are to:
- generate timestamps every 10 minutes over a 3-hour span (i.e., 0 to 180 minutes), and
- simulate five evenly spaced target temperatures between 35.0°C and 37.0°C for system calibration.
Which code snippet correctly produces both sequences using NumPy? Select the best answer.
import numpy as np
- A. timestamps = np.arange(0, 181, 10)
target_temps = np.linspace(35.0, 37.0, 5) - B. timestamps = np.arange(0, 180, 10)
target_temps = np.linspace(35.0, 37.0, 4)
import numpy as np - C. timestamps = np.linspace(0, 180, 10)
target_temps = np.arange(35.0, 37.0, 5)
import numpy as np - D. timestamps = np.linspace(0, 181, 10)
target_temps = np.arange(35.0, 37.0, 0.5)
import numpy a3 np
Answer: A
Explanation:
np.arange(0, 181, 10) generates timestamps from 0 through 180 in 10-minute steps (end is excluded, so using 181 includes 180). np.linspace(35.0, 37.0, 5) generates five evenly spaced temperatures including both 35.0°C and 37.0°C.
NEW QUESTION # 13
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 # 14
A programmer writes a script to test operator precedence using the expression 3 + 4 * 2 ** 2. The goal is to evaluate the result correctly based on Python's operator hierarchy rules. What result should the script produce?
Answer: D
Explanation:
Exponentiation is evaluated first, so 2 ** 2 equals 4. Then multiplication 4 * 4 equals 16. Finally, addition is performed: 3 + 16 results in 19.
NEW QUESTION # 15
A Python script checks membership using "a" in "apple". The developer wants to understand how membership works for strings. What result will this expression produce?
- A. None
- B. Error
- C. False
- D. True
Answer: D
Explanation:
The in operator checks for substring presence. Since the character "a" exists in "apple", the expression evaluates to True, demonstrating how membership works for strings in Python.
NEW QUESTION # 16
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