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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Visualization and Communication	20%	- Creating basic visualizations 1. Line charts, bar charts, histograms, pie charts 2. Using text and simple plotting tools - Interpreting and presenting results 1. Deriving conclusions and insights 2. Reporting findings clearly and concisely - Principles of effective data visualization 1. Clarity, simplicity, and accuracy 2. Choosing appropriate chart types
Topic 2: Working with Data and Performing Simple Analysis	25%	- Data aggregation and grouping 1. Summarizing and grouping datasets - Data acquisition and loading 1. Importing data from external sources 2. Reading text, CSV, and structured files - Exploratory data analysis 1. Calculating mean, median, mode, range, variance, standard deviation 2. Identifying patterns, trends, and outliers - Data cleaning and preparation 1. Formatting and standardizing values 2. Filtering, sorting, transforming data 3. Handling missing values, duplicates, and errors
Topic 3: Introduction to Data and Data Analysis Concepts	22.5%	- Data lifecycle and ethical considerations 1. Privacy, security, bias, and fairness in data 2. Data collection, storage, processing, usage, and sharing - Definition and classification of data 1. Difference between data, information, and knowledge 2. Process of turning raw data into insights 3. Role of data in decision-making and business - Data types and measurement scales 1. Nominal, ordinal, interval, ratio scales 2. Qualitative vs quantitative data - Basic statistical concepts 1. Descriptive vs inferential statistics 2. Population, sample, variable, observation
Topic 4: Python Basics for Data Analysis	32.5%	- Control flow and functions 1. Basic exception handling 2. Defining and calling functions, parameters, return values 3. Conditional statements, loops, iteration - 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 - Introduction to NumPy 1. Arrays, basic operations, indexing, slicing

Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:

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

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

Which statements are most accurate? (Choose two.)

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

3. A variable is assigned using chained assignment: a = b = c = 10. The developer then changes b =
5. What will be the value of a after this operation?

A) 10
B) 5
C) Error
D) None

4. A program uses slicing on a string "Python". The expression s[1:4] is evaluated. Which substring will be returned?

A) yth
B) ytho
C) tho
D) ythn

5. You are creating a presentation slide to communicate findings about student stress levels across four categories over a six-month period. You include the following line graph in your presentation:

Your goal is to help your audience clearly understand trends in stress levels over time.
What is the highest problem with this visual presentation? Select the best answer.

A) The lines are too light and similar in color, making it difficult to distinguish between trends.
B) The months should be replaced with week numbers to provide more detailed insight.
C) The chart should be in 3D format to show depth and highlight differences more clearly.
D) The graph doesn't explain what each stress level means or show exact values for each month, which limits interpretation.
E) The font used in the chart is hard to read; using larger, uppercase text would improve clarity.

Solutions:

Question # 1
Answer: A

Question # 2
Answer: C,E

Question # 3
Answer: A

Question # 4
Answer: A

Question # 5
Answer: A