PCED-30-02 Studienmaterialien: PCED - Certified Entry-Level Data Analyst with Python & PCED-30-02 Zertifizierungstraining

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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Weight	Objectives
Communicating Insights and Reporting	12.5%	- Data Visualization 1. Select appropriate visuals for different data types 2. Interpret simple data visualizations 3. Recognize common visualization types (bar, line, pie charts) - 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
Python Basics for Data Analysis	32.5%	- Data Structures 1. Work with lists, tuples, dictionaries, and sets 2. Apply common operations and methods to data structures - Python Fundamentals 1. Define and use functions 2. Implement control flow structures (loops, conditionals) 3. Use variables, data types, and basic operators - File Handling 1. Read from and write to files (text, CSV) 2. Use the csv module for basic CSV operations
Working with Data and Performing Simple Analyses	32.5%	- Data Cleaning and Transformation 1. Perform basic data transformation (filtering, sorting, grouping) 2. Handle missing and inconsistent data - Data Analysis with Python Libraries 1. Perform basic operations with NumPy arrays 2. Work with the datetime module for date/time data 3. Use the math and statistics modules for basic calculations 4. Utilize the collections module for specialized containers - Simple Analytical Techniques 1. Calculate descriptive statistics (mean, median, mode) 2. Identify basic patterns and trends in data
Introduction to Data and Data Analysis Concepts	22.5%	- Define and Classify Data 1. Differentiate structured, semi-structured, and unstructured data 2. Explain how data becomes meaningful 3. Classify data as quantitative or qualitative - 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 - Data Ethics and Privacy 1. Recognize ethical considerations in data handling 2. Understand basic data privacy concepts

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Python Institute PCED - Certified Entry-Level Data Analyst with Python PCED-30-02 Prüfungsfragen mit Lösungen (Q11-Q16):

11. Frage
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. [1,2,3,[4,5]]
B. [4,5,1,2,3]
C. [1,2,3,4,5]
D. Error

Antwort: A

Begründung:
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]].

12. Frage
A healthcare provider analyzes patient records to determine that appointment cancellations spike during weather alerts and flu season.
What type of analytics is this?

A. Predictive analytics - it uses weather and illness trends to forecast future cancellations.
B. Diagnostic analytics - it identifies reasons behind patterns in patient behavior.
C. Descriptive analytics - it reports appointment numbers across past seasons.
D. Prescriptive analytics - it automates patient rescheduling based on cancellation patterns.

Antwort: B

Begründung:
It examines existing data to understand why cancellations increase, identifying underlying causes such as weather alerts and flu season, which characterizes diagnostic analytics.

13. Frage
The following chart shows how a student spends 24 hours in a day:

Which statements are most accurate? (Choose two.)

A. More time is spent commuting than on leisure.
B. Sleep and school take up the majority of time in a day.
C. School and homework together take up half of the day's time.
D. Commuting is the second most time-consuming activity.
E. Leisure accounts for a moderate portion of the student's daily schedule, larger than commuting but smaller than the time spent at school.
F. Leisure and meals combined equal the time spent at school.

Antwort: B,E

Begründung:
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.

14. Frage
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.strip().split(', ')
B. fields = line.split(', ').trim()
C. fields = line.split().strip(', ')
D. fields = line.replace(', ', '|').split('|')

Antwort: A

15. Frage
Given the following string:
text = "Report2024Final"
Which of the following statements are entirely correct? (Choose two.)

A. text.capitalize()changes Report2024Finalto REPORT2024FINAL, and text.find("2024")returns 6
B. text[6:8].isdigit()returns True, and text.endswith("Final")returns True
C. text.capitalize()changes Finalto lowercase, and text.find ("L")returns True
D. text.isalpha()returns True, and text.find ("2024")returns True
E. text[0:6].isalpha() returns True, and text.find("2024") returns 6
F. text[-6].isdigit() returns True, text.startswith("r") returns True

Antwort: B,C,E

Begründung:
The slice text[6:8] is "20", which contains only digits, and the string ends with "Final". The first six characters are "Report", which are all alphabetic, and "2024" begins at index 6.

16. Frage
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