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| Section | Weight | Objectives |
|---|---|---|
| Data Modeling and Machine Learning Basics | 20% | - Model performance and optimization
|
| Data Acquisition and Preprocessing | 30% | - Data collection, integration and storage
|
| Data Exploration and Statistical Analysis | 25% | - Descriptive statistics
|
| SQL and Database Integration | 10% | - SQL querying
|
| Data Visualization and Communication | 15% | - Visualization principles and best practices
|
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NEW QUESTION # 18
Which element is essential to justify a conclusion drawn from a dataset?
Answer: C
NEW QUESTION # 19
Which file formats are commonly used for hierarchical or nested data structures in data acquisition?
(Choose two)
Answer: A,C
NEW QUESTION # 20
Which operation would most efficiently apply element-wise multiplication to two NumPy arrays of equal size?
Answer: B
NEW QUESTION # 21
You have a list of product prices, and you need to remove duplicate values while maintaining the fastest performance. Which core data structure should you use?
Answer: D
NEW QUESTION # 22
What is the primary advantage of using web scraping as a data collection method in business analytics?
Answer: A
NEW QUESTION # 23
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