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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Weight	Objectives
Data Visualization and Communication	20%	- Principles of effective data visualization 1. Clarity, simplicity, and accuracy 2. Choosing appropriate chart types - Interpreting and presenting results 1. Deriving conclusions and insights 2. Reporting findings clearly and concisely - Creating basic visualizations 1. Using text and simple plotting tools 2. Line charts, bar charts, histograms, pie charts
Introduction to Data and Data Analysis Concepts	22.5%	- Basic statistical concepts 1. Descriptive vs inferential statistics 2. Population, sample, variable, observation - Data lifecycle and ethical considerations 1. Data collection, storage, processing, usage, and sharing 2. Privacy, security, bias, and fairness in data - Data types and measurement scales 1. Nominal, ordinal, interval, ratio scales 2. Qualitative vs quantitative data - Definition and classification of data 1. Role of data in decision-making and business 2. Difference between data, information, and knowledge 3. Process of turning raw data into insights
Working with Data and Performing Simple Analysis	25%	- Exploratory data analysis 1. Identifying patterns, trends, and outliers 2. Calculating mean, median, mode, range, variance, standard deviation - Data aggregation and grouping 1. Summarizing and grouping datasets - Data cleaning and preparation 1. Handling missing values, duplicates, and errors 2. Formatting and standardizing values 3. Filtering, sorting, transforming data - Data acquisition and loading 1. Reading text, CSV, and structured files 2. Importing data from external sources
Python Basics for Data Analysis	32.5%	- Core Python syntax and data types 1. Variables, numbers, strings, booleans 2. Lists, tuples, sets, dictionaries - Built-in modules for data work 1. math, statistics, datetime, collections, csv - Control flow and functions 1. Defining and calling functions, parameters, return values 2. Basic exception handling 3. Conditional statements, loops, iteration - Introduction to NumPy 1. Arrays, basic operations, indexing, slicing

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q29-Q34):

NEW QUESTION # 29
What will be the output of the following code?

A. 5 5
B. 10 10
C. 10 5
D. 5 10

Answer: A

Explanation:
The function declares the variable as global and assigns it the value 5. When the function is called, it updates the global variable and returns 5, so both the returned value and the global variable printed afterward are 5.

NEW QUESTION # 30
A Python script includes the expression not False and True. The developer is unsure how logical operators are evaluated in terms of precedence. What will be the final Boolean result of this expression?

A. False
B. None
C. True
D. Error

Answer: C

Explanation:
The not operator has higher precedence than and, so not False becomes True first. Then True and True is evaluated, resulting in True as the final Boolean value.

NEW QUESTION # 31
A Python loop uses range(5, 0, -2) to iterate backward. The programmer expects a decreasing sequence. Which values will actually be generated when this loop runs?

A. 5, 3, 1
B. 4, 2, 0
C. 5, 4, 3, 2, 1
D. 5, 3

Answer: A

Explanation:
The range starts at 5 and decreases by 2 each step until it reaches a value greater than 0. The generated sequence is 5, 3, and 1.

NEW QUESTION # 32
Given the following string:
text = "Report2024Final"
Which of the following statements are entirely correct? (Choose two.)

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

Answer: A,B,C

Explanation:
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.

NEW QUESTION # 33
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.split().strip(', ')
B. fields = line.replace(', ', '|').split('|')
C. fields = line.strip().split(', ')
D. fields = line.split(', ').trim()

Answer: C

Explanation:
Stripping removes leading and trailing whitespace from the line, and then splitting on the comma- space delimiter correctly separates the values into a list for further formatting.

NEW QUESTION # 34
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