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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 workflow?
💡 Hint: It's about understanding what you need to solve.
Question 2
Easy
Name a common method for data collection.
💡 Hint: Think about how companies gather feedback.
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 main goal of the data cleaning process?
- To organize data
- To improve data quality
- To visualize data
💡 Hint: Think about what happens with bad data.
Question 2
True or False: Feature engineering is unnecessary if you have a good dataset.
- True
- False
💡 Hint: Consider if just having a good dataset is enough.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Create a plan for a data science project focusing on predicting sales. List each step of the workflow and provide a brief explanation for each.
💡 Hint: Use the workflow steps as guide posts.
Question 2
Discuss the impact of poor problem definition on a data science project. Provide examples of its effects.
💡 Hint: Think about the implications of not addressing specific goals.
Challenge and get performance evaluation