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Python Institute PCED-30-02 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Handling and Processing with Python- Working with data structures
  • 1. Lists, tuples, dictionaries
    • 2. Iterating and transformations
      - Data manipulation libraries
      • 1. NumPy basics
        • 2. Pandas fundamentals
          Topic 2: Python Programming Fundamentals- Basic syntax and data types
          • 1. Variables and operators
            • 2. Control flow basics
              Topic 3: 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 4: Basic Statistics for Data Analysis- Descriptive statistics
                      • 1. Variance and standard deviation
                        • 2. Mean, median, mode

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                          Latest Python Institute PCED-30-02 Exam Answers | Reliable PCED-30-02 Braindumps Sheet

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                          Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q47-Q52):

                          NEW QUESTION # 47
                          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

                          Answer: B

                          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 # 48
                          You are given two lists representing daily page views and sign-ups on a website:
                          views = [120, 130, 128, 700, 115, 123, 119, 680, 122]
                          signups = [12, 15, 13, 50, 11, 14, 10, 55, 13]
                          You want to:
                          - remove outliers (views > 600), and
                          - calculate correlation between the cleaned lists.
                          Which code accomplishes this correctly? Select the best answer.

                          Answer: D

                          Explanation:
                          It converts the lists to NumPy arrays, builds a boolean mask based on the views threshold to remove outliers, applies the same mask to both arrays so they stay aligned, and then computes the correlation on the cleaned pairs using np.corrcoef.


                          NEW QUESTION # 49
                          Which of the following code snippets will output Truefor both printfunctions by correctly identifying the type of each variable and performing valid operations?

                          Answer: C

                          Explanation:
                          Adding an integer and a float produces a float result, so checking that the type of the sum is float evaluates to True. The variable holding 3.0 is a float, so the isinstance check for float also evaluates to True.


                          NEW QUESTION # 50
                          A Python developer is testing truth values of different data types using the bool() function. The expression bool([0]) is evaluated in the script. What result should be expected when this expression is printed?

                          Answer: D

                          Explanation:
                          In Python, any non-empty list evaluates to True in a Boolean context. Even though the element inside the list is zero, the list itself is not empty, so the result is True.


                          NEW QUESTION # 51
                          How do the analysis and visualization stages of the data lifecycle typically work together?

                          Answer: C

                          Explanation:
                          Analysis involves examining processed data to uncover patterns, trends, and insights, and visualization presents those findings in graphical form so stakeholders can clearly understand and act on the results.


                          NEW QUESTION # 52
                          ......

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