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| Section | Weight | Objectives |
|---|
| Topic 1: Communicating Insights and Reporting | 12.5% | - Data Storytelling and Reporting
- 1. Present insights with visual and verbal techniques
- 2. Structure insights as a narrative
- 3. Create clear and concise analytical reports
- Data Visualization
- 1. Recognize common visualization types (bar, line, pie charts)
- 2. Interpret simple data visualizations
- 3. Select appropriate visuals for different data types
|
| Topic 2: Introduction to Data and Data Analysis Concepts | 22.5% | - Define and Classify Data
- 1. Classify data as quantitative or qualitative
- 2. Explain how data becomes meaningful
- 3. Differentiate structured, semi-structured, and unstructured data
- Data Ethics and Privacy
- 1. Recognize ethical considerations in data handling
- 2. Understand basic data privacy concepts
- 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
|
| Topic 3: Python Basics for Data Analysis | 32.5% | - 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. 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
|
| Topic 4: Working with Data and Performing Simple Analyses | 32.5% | - Data Cleaning and Transformation
- 1. Handle missing and inconsistent data
- 2. Perform basic data transformation (filtering, sorting, grouping)
- Data Analysis with Python Libraries
- 1. Perform basic operations with NumPy arrays
- 2. Work with the datetime module for date/time data
- 3. Utilize the collections module for specialized containers
- 4. Use the math and statistics modules for basic calculations
- Simple Analytical Techniques
- 1. Identify basic patterns and trends in data
- 2. Calculate descriptive statistics (mean, median, mode)
|
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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q29-Q34):
NEW QUESTION # 29
A list is defined as [1, 2, 3]. The programmer uses the method .append([4, 5]). What will the resulting list look like after execution?
- A. [4,5,1,2,3]
- B. [1,2,3,[4,5]]
- C. [1,2,3,4,5]
- D. Error
Answer: B
Explanation:
The append() method adds its argument as a single element. Therefore, the list [4, 5] is added as one nested list, resulting in [1, 2, 3, [4, 5]].
NEW QUESTION # 30
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: D
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 # 31
A program uses slicing on a string "Python". The expression s[1:4] is evaluated. Which substring will be returned?
- A. yth
- B. tho
- C. ytho
- D. ythn
Answer: A
Explanation:
Slicing includes the start index but excludes the end index. Characters at indices 1, 2, and 3 are selected, producing the substring "yth".
NEW QUESTION # 32
Which of the following statements about Python functions are correct? (Choose two.)
- A. Functions can only return numeric values or strings.
- B. Positional arguments must be passed in the order defined, while keyword arguments can be passed in any order using their parameter names.
- C. If a function does not contain a returnstatement, it returns Noneby default.
- D. Default parameters must always come before required ones in the parameter list.
- E. passexecutes the function body and returns its result.
- F. A function cannot call itself or be passed as an argument to itself.
Answer: B,C
Explanation:
Positional arguments are matched to parameters by their position, so they must follow the defined order, while keyword arguments are matched by name and can be provided in any order. If a function completes without an explicit return statement, Python returns None automatically.
NEW QUESTION # 33
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. Commuting is the second most time-consuming activity.
- C. Sleep and school take up the majority of time in a day.
- D. Leisure and meals combined equal the time spent at school.
- E. School and homework together take up half of the day's time.
- F. More time is spent commuting than on leisure.
Answer: A,C
NEW QUESTION # 34
......
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