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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Weight	Objectives
Working with Data and Performing Simple Analysis	25%	- Data aggregation and grouping 1. Summarizing and grouping datasets - Data cleaning and preparation 1. Filtering, sorting, transforming data 2. Formatting and standardizing values 3. Handling missing values, duplicates, and errors - Exploratory data analysis 1. Identifying patterns, trends, and outliers 2. Calculating mean, median, mode, range, variance, standard deviation - Data acquisition and loading 1. Reading text, CSV, and structured files 2. Importing data from external sources
Introduction to Data and Data Analysis Concepts	22.5%	- Basic statistical concepts 1. Descriptive vs inferential statistics 2. Population, sample, variable, observation - Definition and classification of data 1. Role of data in decision-making and business 2. Process of turning raw data into insights 3. Difference between data, information, and knowledge - Data types and measurement scales 1. Nominal, ordinal, interval, ratio scales 2. Qualitative vs quantitative data - Data lifecycle and ethical considerations 1. Privacy, security, bias, and fairness in data 2. Data collection, storage, processing, usage, and sharing
Data Visualization and Communication	20%	- Interpreting and presenting results 1. Reporting findings clearly and concisely 2. Deriving conclusions and insights - Principles of effective data visualization 1. Clarity, simplicity, and accuracy 2. Choosing appropriate chart types - Creating basic visualizations 1. Using text and simple plotting tools 2. Line charts, bar charts, histograms, pie charts
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. Basic exception handling 2. Conditional statements, loops, iteration 3. Defining and calling functions, parameters, return values - 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 (Q17-Q22):

NEW QUESTION # 17
A Python script evaluates the expression len(" "). The programmer assumes it might be zero because it looks empty. What will the actual result be?

A. None
B. 0
C. 1
D. Error

Answer: B

Explanation:
A space is still a valid character in a string. Therefore, the string contains one character, and len("
") returns 1 instead of 0.

NEW QUESTION # 18
Consider the following Python code:

What will be printed when the code above is executed?
40

A. [20, 30, 40]
1
[1, 2, 4, 5, 6]
50
B. [10, 20, 30, 40]
0
[1, 2, 3, 4, 5, 6]
50
C. [20, 30, 40]
1
[1, 2, 4, 5, 6]
D. [10, 20, 30, 40]
1
[1, 2, 4, 5, 6]
50

Answer: C

Explanation:
The last element of the original list is 50. The slice from index 1 up to (but not including) index 4 is
[20, 30, 40]. After removing 30 and appending 60, the list contains one occurrence of 10, and integer division by 10 produces [1, 2, 4, 5, 6].

NEW QUESTION # 19
Which of the following statements about Python functions are correct? (Choose two.)

A. passexecutes the function body and returns its result.
B. If a function does not contain a returnstatement, it returns Noneby default.
C. Default parameters must always come before required ones in the parameter list.
D. A function cannot call itself or be passed as an argument to itself.
E. Positional arguments must be passed in the order defined, while keyword arguments can be passed in any order using their parameter names.
F. Functions can only return numeric values or strings.

Answer: B,E

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 # 20
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].isdigit() returns True, text.startswith("r") returns True
C. text[6:8].isdigit()returns True, and text.endswith("Final")returns True
D. text[0:6].isalpha() returns True, and text.find("2024") returns 6
E. text.isalpha()returns True, and text.find ("2024")returns True
F. text.capitalize()changes Finalto lowercase, and text.find ("L")returns True

Answer: C,D,F

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 # 21
The following chart shows how a student spends 24 hours in a day:

Which statements are most accurate? (Choose two.)

A. Leisure and meals combined equal the time spent at school.
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. More time is spent commuting than on leisure.
E. Commuting is the second most time-consuming activity.
F. Leisure accounts for a moderate portion of the student's daily schedule, larger than commuting but smaller than the time spent at school.

Answer: B,F

NEW QUESTION # 22
......

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