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| Section | Weight | Objectives |
|---|
| Topic 1: Working with Data and Performing Simple Analyses | 32.5% | - Data Analysis with Python Libraries
- 1. Utilize the collections module for specialized containers
- 2. Work with the datetime module for date/time data
- 3. Use the math and statistics modules for basic calculations
- 4. Perform basic operations with NumPy arrays
- Data Cleaning and Transformation
- 1. Perform basic data transformation (filtering, sorting, grouping)
- 2. Handle missing and inconsistent data
- Simple Analytical Techniques
- 1. Calculate descriptive statistics (mean, median, mode)
- 2. Identify basic patterns and trends in data
|
| Topic 2: 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. Differentiate structured, semi-structured, and unstructured data
- 2. Classify data as quantitative or qualitative
- 3. Explain how data becomes meaningful
- 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
|
| Topic 3: Python Basics for Data Analysis | 32.5% | - Data Structures
- 1. Apply common operations and methods to data structures
- 2. Work with lists, tuples, dictionaries, and sets
- Python Fundamentals
- 1. Implement control flow structures (loops, conditionals)
- 2. Use variables, data types, and basic operators
- 3. Define and use functions
- File Handling
- 1. Use the csv module for basic CSV operations
- 2. Read from and write to files (text, CSV)
|
| Topic 4: Communicating Insights and Reporting | 12.5% | - Data Storytelling and Reporting
- 1. Structure insights as a narrative
- 2. Present insights with visual and verbal techniques
- 3. Create clear and concise analytical reports
- Data Visualization
- 1. Interpret simple data visualizations
- 2. Recognize common visualization types (bar, line, pie charts)
- 3. Select appropriate visuals for different data types
|
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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q18-Q23):
NEW QUESTION # 18
The following chart shows how a student spends 24 hours in a day:

Which statements are most accurate? (Choose two.)
- A. Leisure accounts for a moderate portion of the student's daily schedule, larger than commuting but smaller than the time spent at school.
- B. Sleep and school take up the majority of time in a day.
- C. Leisure and meals combined equal the time spent at school.
- D. Commuting is the second most time-consuming activity.
- E. School and homework together take up half of the day's time.
- F. More time is spent commuting than on leisure.
Answer: A,B
NEW QUESTION # 19
A financial technology company is reviewing its data practices to ensure legal and ethical compliance.
Which of the following actions would support responsible data handling and align with regulations like GDPR, HIPAA, and CCPA? (Choose two.)
- A. Retaining user data permanently unless users explicitly request deletion.
- B. Implementing encryption for both stored and transmitted customer data.
- C. Providing users with a clear explanation of how their data is used and obtaining explicit consent.
- D. Limiting data access only to marketing staff to streamline personalization.
- E. Automatically opting users into data sharing unless they manually change settings.
Answer: B,C
Explanation:
Encrypting stored and transmitted data protects sensitive information from unauthorized access and supports regulatory requirements for data security. Providing clear explanations of data usage and obtaining explicit consent ensures transparency and aligns with core principles of data protection regulations such as lawful processing and user rights.
NEW QUESTION # 20
The following chart shows how a student spends 24 hours in a day:

Which statements are most accurate? (Choose two.)
- A. Leisure accounts for a moderate portion of the student's daily schedule, larger than commuting but smaller than the time spent at school.
- B. Sleep and school take up the majority of time in a day.
- C. Leisure and meals combined equal the time spent at school.
- D. Commuting is the second most time-consuming activity.
- E. School and homework together take up half of the day's time.
- F. More time is spent commuting than on leisure.
Answer: A,B
Explanation:
The largest portions of the chart are sleep and school, and together they clearly make up more than half of the day. Leisure appears as a mid-sized segment that is larger than commuting but smaller than school, fitting the description of a moderate portion.
NEW QUESTION # 21
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: B
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 # 22
Consider a Python program that assigns a string value "5" to a variable and then attempts to multiply it by an integer 3. The programmer expects numeric multiplication. What will actually happen when the code is executed?
Answer: C
Explanation:
In Python, multiplying a string by an integer repeats the string. Therefore, "5" * 3 produces "555", not a numeric result. This behavior differs from arithmetic multiplication and often confuses beginners.
NEW QUESTION # 23
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