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| Section | Weight | Objectives |
|---|
| Topic 1: Working with Data and Performing Simple Analysis | 25% | - Data acquisition and loading
- 1. Reading text, CSV, and structured files
- 2. Importing data from external sources
- Exploratory data analysis
- 1. Calculating mean, median, mode, range, variance, standard deviation
- 2. Identifying patterns, trends, and outliers
- Data cleaning and preparation
- 1. Filtering, sorting, transforming data
- 2. Formatting and standardizing values
- 3. Handling missing values, duplicates, and errors
- Data aggregation and grouping
- 1. Summarizing and grouping datasets
|
| Topic 2: Introduction to Data and Data Analysis Concepts | 22.5% | - 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
- Basic statistical concepts
- 1. Descriptive vs inferential statistics
- 2. Population, sample, variable, observation
- Data types and measurement scales
- 1. Qualitative vs quantitative data
- 2. Nominal, ordinal, interval, ratio scales
- Data lifecycle and ethical considerations
- 1. Privacy, security, bias, and fairness in data
- 2. Data collection, storage, processing, usage, and sharing
|
| Topic 3: 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. Choosing appropriate chart types
- 2. Clarity, simplicity, and accuracy
- Creating basic visualizations
- 1. Using text and simple plotting tools
- 2. Line charts, bar charts, histograms, pie charts
|
| Topic 4: Python Basics for Data Analysis | 32.5% | - Core Python syntax and data types
- 1. Lists, tuples, sets, dictionaries
- 2. Variables, numbers, strings, booleans
- Control flow and functions
- 1. Conditional statements, loops, iteration
- 2. Defining and calling functions, parameters, return values
- 3. Basic exception handling
- Built-in modules for data work
- 1. math, statistics, datetime, collections, csv
- 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 (Q38-Q43):
NEW QUESTION # 38
A program compares two values using == and is. The variables a = 256 and b = 256 are defined.
What is the expected result of a is b in most Python implementations?
- A. None
- B. True
- C. False
- D. Error
Answer: B
Explanation:
Python caches small integers for efficiency. Since 256 is typically within the cached range, both variables reference the same object in memory, making a is b evaluate to True.
NEW QUESTION # 39
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?
- A. None
- B. True
- C. False
- D. Error
Answer: B
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 # 40
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. None
- B. True
- C. False
- D. Error
Answer: B
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 # 41
A program uses while False: followed by print statements inside the loop. The developer expects output. What will actually happen during execution?
- A. No execution
- B. Prints once
- C. Error
- D. Infinite loop
Answer: A
Explanation:
The condition False is evaluated before entering the loop. Since it is always false, the loop body is never executed, and no output is produced.
NEW QUESTION # 42
A loop is designed using range(1, 6, 2) to iterate through numbers. The developer wants to know exactly which values will be generated during execution. Which sequence correctly represents the values produced?
- A. 1, 3
- B. 1, 2, 3, 4, 5
- C. 2, 4, 6
- D. 1, 3, 5
Answer: D
Explanation:
The range(start, stop, step) function generates numbers starting from 1, increasing by 2, and stopping before 6. Therefore, the resulting sequence is 1, 3, and 5.
NEW QUESTION # 43
......
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