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Questions and Answers
What is the primary benefit of using Python for data analytics?
What is the primary benefit of using Python for data analytics?
- It is a more complex language to learn compared to other programming languages.
- It is a more expensive option compared to other programming languages.
- It is not suitable for large-scale data analysis.
- It provides a wide range of libraries and tools for data manipulation and analysis. (correct)
What is the main purpose of cleaning data in Python?
What is the main purpose of cleaning data in Python?
- To remove irrelevant or incorrect data points to improve data quality. (correct)
- To import data from external sources into Python.
- To visualize the data using plotting libraries.
- To analyze the data using machine learning algorithms.
What is the key difference between machine learning and deep learning?
What is the key difference between machine learning and deep learning?
- Machine learning is a broader field that includes deep learning, which is a specific type of machine learning algorithm. (correct)
- Machine learning is used for data visualization, while deep learning is used for data analysis.
- Machine learning is used for data cleaning, while deep learning is used for data import.
- Machine learning is a type of deep learning, which is a more advanced technique.
What is the purpose of data visualization in Python?
What is the purpose of data visualization in Python?
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What is the first step in working with data in Python?
What is the first step in working with data in Python?
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