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| Section | Weight | Objectives |
|---|
| Topic 1: Data Visualization and Communication | 20% | - Creating basic visualizations
- 1. Using text and simple plotting tools
- 2. Line charts, bar charts, histograms, pie charts
- Principles of effective data visualization
- 1. Choosing appropriate chart types
- 2. Clarity, simplicity, and accuracy
- Interpreting and presenting results
- 1. Deriving conclusions and insights
- 2. Reporting findings clearly and concisely
|
| Topic 2: Python Basics for Data Analysis | 32.5% | - Control flow and functions
- 1. Conditional statements, loops, iteration
- 2. Basic exception handling
- 3. Defining and calling functions, parameters, return values
- Core Python syntax and data types
- 1. Lists, tuples, sets, dictionaries
- 2. Variables, numbers, strings, booleans
- Introduction to NumPy
- 1. Arrays, basic operations, indexing, slicing
- Built-in modules for data work
- 1. math, statistics, datetime, collections, csv
|
| 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
- Data types and measurement scales
- 1. Nominal, ordinal, interval, ratio scales
- 2. Qualitative vs quantitative data
- Definition and classification of data
- 1. Process of turning raw data into insights
- 2. Difference between data, information, and knowledge
- 3. Role of data in decision-making and business
- Basic statistical concepts
- 1. Descriptive vs inferential statistics
- 2. Population, sample, variable, observation
|
| Topic 4: Working with Data and Performing Simple Analysis | 25% | - Data cleaning and preparation
- 1. Formatting and standardizing values
- 2. Handling missing values, duplicates, and errors
- 3. Filtering, sorting, transforming data
- Data aggregation and grouping
- 1. Summarizing and grouping datasets
- Exploratory data analysis
- 1. Calculating mean, median, mode, range, variance, standard deviation
- 2. Identifying patterns, trends, and outliers
- Data acquisition and loading
- 1. Importing data from external sources
- 2. Reading text, CSV, and structured files
|
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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q48-Q53):
NEW QUESTION # 48
A script attempts to divide two numbers using / and //. The values are 7 and 2. The developer wants to understand the difference between true division and floor division. What are the results respectively?
- A. 3 and 3.5
- B. 3 and 4
- C. 3.5 and 3
- D. 4 and 3
Answer: C
Explanation:
The / operator performs true division, returning a float result of 3.5. The // operator performs floor division, truncating the decimal part and returning the integer value 3.
NEW QUESTION # 49
Which of the following statements about Python functions are correct? (Choose two.)
- A. Default parameters must always come before required ones in the parameter list.
- B. A function cannot call itself or be passed as an argument to itself.
- C. passexecutes the function body and returns its result.
- D. Functions can only return numeric values or strings.
- E. If a function does not contain a returnstatement, it returns Noneby default.
- F. Positional arguments must be passed in the order defined, while keyword arguments can be passed in any order using their parameter names.
Answer: E,F
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 # 50
A script defines a variable x = None and checks its truth value using a conditional statement. The developer wants to understand how Python evaluates None in Boolean contexts. What will bool(x) return?
- A. False
- B. None
- C. Error
- D. True
Answer: A
Explanation:
The value None represents the absence of a value and is treated as False in Boolean expressions. Therefore, calling bool(None) returns False, similar to empty containers or zero values.
NEW QUESTION # 51
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. More time is spent commuting than on leisure.
- D. Commuting is the second most time-consuming activity.
- E. School and homework together take up half of the day's time.
- 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
Explanation:
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.
NEW QUESTION # 52
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. True
- B. False
- C. None
- D. Error
Answer: A
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 # 53
......
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