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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 Analysis and Visualization | - Data cleaning and preprocessing
- 1. Data transformation techniques
- 2. Missing values handling
- Data visualization
- 1. Plot interpretation
- 2. Matplotlib basics
|
| Topic 3: Data Handling and Processing with Python | - Data manipulation libraries
- 1. Pandas fundamentals
- 2. NumPy basics
- Working with data structures
- 1. Iterating and transformations
- 2. Lists, tuples, dictionaries
|
| Topic 4: Python Programming Fundamentals | - Basic syntax and data types
- 1. Control flow basics
- 2. Variables and operators
|
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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q48-Q53):
NEW QUESTION # 48
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.split().strip(', ')
- B. fields = line.split(', ').trim()
- C. fields = line.strip().split(', ')
- D. fields = line.replace(', ', '|').split('|')
Answer: C
NEW QUESTION # 49
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, 3, 5
- C. 1, 2, 3, 4, 5
- D. 1, 3
Answer: B
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 # 50
You have a list of test scores, where each entry includes a student name and a score. Some students appear more than once. You want to compute the average score for each student and store the results in a dictionary. Here's the partial code block:

Which code correctly replaces the # MISSING CODE comment to calculate the average score for each student? Select the best answer.
Answer: C
Explanation:
It iterates through each record, extracts the name and score, and uses dictionary .get() to accumulate total scores and counts per student safely, initializing missing keys to zero. This correctly enables calculation of each student's average afterward.
NEW QUESTION # 51
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 6 for Group A, Summary 5 for Group B
- B. Summary 2 for Group A. Summary 6 for Group B
- C. Summary 1 for Group A, Summary 3 for Group B
- D. Summary 1 for Group A, Summary 6 for Group B
- E. Summary 4 for Group A, Summary 3 for Group B
- F. Summary 6 for Group A, Summary 3 for Group B
Answer: C
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 # 52
A government agency collects citizen data for various public services.
What is the primary reason for emphasizing careful data management throughout the entire data lifecycle in this context? Select the best answer.
- A. To streamline the initial capture of citizen details and minimize the administrative burden on both staff and the public.
- B. To guarantee the long-term availability and integrity of crucial citizen datasets for future policy formulation and evaluation.
- C. To enable seamless sharing of anonymized citizen information with other governmental bodies for collaborative initiatives.
- D. To uphold data quality for effective service delivery, safeguard citizen privacy and prevent misuse, and comply with data protection laws.
Answer: D
Explanation:
Careful data management across the entire lifecycle ensures high data quality for reliable public services, protects sensitive citizen information from misuse, and maintains compliance with legal and regulatory data protection requirements.
NEW QUESTION # 53
......
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