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| Section | Weight | Objectives |
|---|---|---|
| Data Exploration and Statistical Analysis | 25% | - Descriptive statistics
|
| SQL and Database Integration | 10% | - SQL querying
|
| Data Acquisition and Preprocessing | 30% | - Data cleaning and validation
|
| Data Modeling and Machine Learning Basics | 20% | - Model performance and optimization
|
| Data Visualization and Communication | 15% | - Visualization principles and best practices
|
How would you extract the last three rows of a DataFrame df using position-based indexing?
Correct Answer: B 🗳️
Which characteristics are typically associated with supervised learning algorithms?
(Choose two)
Correct Answer: B,D 🗳️
Which operations are valid and commonly used on Python lists during data transformation tasks?
(Choose two)
Correct Answer: A,D 🗳️
Which command should a data analyst use to install the pandas library in a Python environment using the Python Package Index?
Correct Answer: D 🗳️
Which method is best suited to transform inconsistent entries such as "N/A", "missing", and empty strings into a standard missing value representation in a Pandas DataFrame?
Correct Answer: D 🗳️
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