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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the first step in the Data Science Lifecycle?
💡 Hint: It's about identifying the issue.
Question 2
Easy
What are two common data sources?
💡 Hint: Think about how companies gather information.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the last step in the Data Science Lifecycle?
- Model Building
- Monitoring
- Data Collection
💡 Hint: It's about keeping track of the model after it's live.
Question 2
True or False: Data Cleaning is optional in the Data Science Lifecycle.
- True
- False
💡 Hint: Consider the risks of using unclean data.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Imagine you are tasked with predicting customer churn for a subscription service. Outline how you would approach this using the Data Science Lifecycle.
💡 Hint: Think about each step logically and how they link together.
Question 2
You have an existing model for sales prediction but find it underperforming. Describe your plan to investigate and enhance its performance.
💡 Hint: Consider both data and model perspectives when addressing underperformance.
Challenge and get performance evaluation