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Explain the concept of dimensionality reduction and how you have applied it in your data analysis projects.
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Data Analyst
Marketer
General
When answering this question, highlight your understanding of dimensionality reduction techniques like PCA or t-SNE. Share a specific project where you applied these methods, detailing the problem, the technique used, and the outcome. This shows your practical experience and problem-solving skills.
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Hard Difficulty
Hard questions require advanced understanding and critical thinking. Here, your problem-solving skills are key, as these questions often involve complex scenarios needing in-depth analysis and well-structured responses.
Technical question
Technical questions probe into your industry-specific knowledge and skills. They require precise answers and are an opportunity to show your expertise and practical abilities in your field.