Practice The Data Science Lifecycle - 1.4 | Introduction to Data Science | Data Science Basic
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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: Think about what you need to understand before starting.

Question 2

Easy

Name one data collection method.

💡 Hint: Consider the sources from where data can be gathered.

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 stage of the Data Science Lifecycle?

  • Data Collection
  • Monitoring and Maintenance
  • Deployment

💡 Hint: Think about what happens after deployment.

Question 2

True or False: Data cleaning is optional in the Data Science Lifecycle.

  • True
  • False

💡 Hint: How does bad data affect your analysis?

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You are tasked with analyzing customer feedback data. Define a clear problem statement, describe how you would collect the data, and explain what cleaning steps you'd take.

💡 Hint: Think about your end goal with the analysis.

Question 2

Discuss the impact of not monitoring a deployed model. What potential issues can arise, and how can you mitigate them?

💡 Hint: Consider what happens to models over time, especially in dynamic environments.

Challenge and get performance evaluation