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| Section | Weight | Objectives |
|---|
| Python Programming for Data Analysis | 30% | - Python Data Types and Structures
- 1. Data type conversions
- 2. Numbers, strings, booleans
- 3. Lists, tuples, dictionaries, sets
- Control Flow and Functions
- 1. Function definitions and parameters
- 2. Loops (for, while)
- 3. Return values and scope
- 4. Conditional statements (if, elif, else)
- File Operations
- 1. Writing to files
- 2. Reading from files (text, CSV)
- 3. Context managers (with statement)
|
| Applied Data Analysis Projects | 20% | - Data Analysis Workflow
- 1. Problem definition
- 2. Analysis and modeling
- 3. Data exploration and cleaning
- 4. Results interpretation and presentation
- Exploratory Data Analysis (EDA)
- 1. Descriptive statistics computation
- 2. Data distribution analysis
- 3. Pattern identification
- 4. Correlation analysis
|
| Data Analysis Fundamentals | 20% | - Introduction to Data Analysis
- 1. Types of data (structured, unstructured, semi-structured)
- 2. Data analysis concepts and terminology
- 3. Data analysis process lifecycle
- Data Collection and Preparation
- 1. Data import/export operations
- 2. Data cleaning and preprocessing basics
- 3. Data sources and acquisition methods
|
| Working with Data Using Python Libraries | 30% | - Pandas Library
- 1. DataFrame operations (merge, join, concat)
- 2. Series and DataFrame structures
- 3. Data selection and filtering
- 4. GroupBy operations
- 5. Handling missing data
- Data Visualization
- 1. Matplotlib basics
- 2. Customizing plots
- 3. Creating basic charts (line, bar, scatter, histogram)
- 4. Seaborn introduction
- NumPy Fundamentals
- 1. Basic statistical functions
- 2. NumPy arrays and operations
- 3. Array indexing and slicing
- 4. Vectorized operations
|
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q129-Q134):
NEW QUESTION # 129
What will the following function return?
def average(*args):
return sum(args) / len(args)
average(4, 5, 6)
- A. 0
- B. Error
- C. (4, 5, 6)
- D. 5.0
Answer: D
NEW QUESTION # 130
When creating a line chart with Matplotlib, which function is most appropriate to add a text label at a specific data point?
- A. plt.legend()
- B. plt.annotate()
- C. plt.title()
- D. plt.xlabel()
Answer: B
NEW QUESTION # 131
Which of the following are limitations of manual data collection methods?
(Choose two)
- A. High scalability
- B. Seamless integration with big data tools
- C. Increased chance of human error
- D. Time-consuming process
Answer: C,D
NEW QUESTION # 132
What is the correct SQL statement to permanently remove a table named customers from a database?
- A. REMOVE TABLE customers;
- B. DROP TABLE customers;
- C. DELETE TABLE customers;
- D. TRUNCATE TABLE customers;
Answer: B
NEW QUESTION # 133
When joining two tables in a relational database using SQL, which clause is used to specify the relationship between their columns?
- A. GROUP BY
- B. HAVING
- C. FROM
- D. JOIN ON
Answer: D
NEW QUESTION # 134
......
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