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| Section | Weight | Objectives |
|---|
| Applied Data Analysis Projects | 20% | - Exploratory Data Analysis (EDA)
- 1. Pattern identification
- 2. Data distribution analysis
- 3. Correlation analysis
- 4. Descriptive statistics computation
- Data Analysis Workflow
- 1. Analysis and modeling
- 2. Data exploration and cleaning
- 3. Results interpretation and presentation
- 4. Problem definition
|
| Working with Data Using Python Libraries | 30% | - Data Visualization
- 1. Matplotlib basics
- 2. Seaborn introduction
- 3. Customizing plots
- 4. Creating basic charts (line, bar, scatter, histogram)
- Pandas Library
- 1. Data selection and filtering
- 2. GroupBy operations
- 3. DataFrame operations (merge, join, concat)
- 4. Series and DataFrame structures
- 5. Handling missing data
- NumPy Fundamentals
- 1. Basic statistical functions
- 2. Array indexing and slicing
- 3. NumPy arrays and operations
- 4. Vectorized operations
|
| 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 sources and acquisition methods
- 2. Data cleaning and preprocessing basics
- 3. Data import/export operations
|
| Python Programming for Data Analysis | 30% | - File Operations
- 1. Context managers (with statement)
- 2. Writing to files
- 3. Reading from files (text, CSV)
- Python Data Types and Structures
- 1. Data type conversions
- 2. Lists, tuples, dictionaries, sets
- 3. Numbers, strings, booleans
- Control Flow and Functions
- 1. Return values and scope
- 2. Conditional statements (if, elif, else)
- 3. Function definitions and parameters
- 4. Loops (for, while)
|
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q85-Q90):
NEW QUESTION # 85
Which Python library is most commonly used to establish a connection to a SQLite database and perform SQL operations?
- A. sqlalchemy
- B. pymysql
- C. psycopg2
- D. sqlite3
Answer: D
NEW QUESTION # 86
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 # 87
What is the main advantage of using Seaborn over Matplotlib when creating complex statistical visualizations in Python?
- A. Seaborn works exclusively with NumPy arrays
- B. Seaborn automatically saves plots as image files
- C. Seaborn provides high-level abstractions for attractive and informative graphics
- D. Seaborn requires no data preprocessing for missing values
Answer: C
NEW QUESTION # 88
Which practices help maintain data integrity across large datasets in Pandas workflows?
(Choose two)
- A. Defining and enforcing schema constraints
- B. Using assertions to enforce domain-specific rules
- C. Sorting columns alphabetically
- D. Automatically converting all text to uppercase
Answer: A,B
NEW QUESTION # 89
Which Python construct allows you to iterate over a list of dictionary values and apply conditional logic to accumulate numerical values that meet a certain threshold?
- A. filter() function with map
- B. lambda expression with reduce
- C. for loop with if condition
- D. while loop with try block
Answer: C
NEW QUESTION # 90
......
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