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Python Institute PCED-30-02 Exam Syllabus Topics:

SectionObjectives
Topic 1: Python Programming Fundamentals- Basic syntax and data types
  • 1. Control flow basics
    • 2. Variables and operators
      Topic 2: Basic Statistics for Data Analysis- Descriptive statistics
      • 1. Variance and standard deviation
        • 2. Mean, median, mode
          Topic 3: 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 4: Data Analysis and Visualization- Data cleaning and preprocessing
                  • 1. Data transformation techniques
                    • 2. Missing values handling
                      - Data visualization
                      • 1. Plot interpretation
                        • 2. Matplotlib basics

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                          Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q42-Q47):

                          NEW QUESTION # 42
                          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: B

                          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 # 43
                          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?

                          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 # 44
                          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?

                          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 # 45
                          A teacher wants to compare the number of students in different school clubs:

                          Which type of chart would be most appropriate to show this comparison? Select the best answer.

                          Answer: D

                          Explanation:
                          A bar chart is best for comparing quantities across distinct categories, such as the number of students in each club, because it clearly shows differences in counts side by side.


                          NEW QUESTION # 46
                          A script defines a variable x = None and checks its truth value using a conditional statement. The developer wants to understand how Python evaluates None in Boolean contexts. What will bool(x) return?

                          Answer: C

                          Explanation:
                          The value None represents the absence of a value and is treated as False in Boolean expressions. Therefore, calling bool(None) returns False, similar to empty containers or zero values.


                          NEW QUESTION # 47
                          ......

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