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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the first stage of the Data Science Life Cycle?
💡 Hint: Think about what we need to understand before collecting data.
Question 2
Easy
Why is data preparation important?
💡 Hint: Consider what would happen if we use dirty data.
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 first step in the Data Science Life Cycle?
- Data Collection
- Problem Definition
- Data Analysis
💡 Hint: It helps to frame the data collection process.
Question 2
True or False: Data Preparation is a crucial step to ensure data is cleaned and ready for analysis.
- True
- False
💡 Hint: Consider how bad data affects results.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Imagine you are tasked with improving customer satisfaction in a retail chain. Outline how you would apply each stage of the Data Science Life Cycle to achieve this goal.
💡 Hint: Think about real steps you would take.
Question 2
You’ve collected data but found many missing values. Discuss how you would handle these in the Data Preparation stage.
💡 Hint: Consider methods that maintain data integrity.
Challenge and get performance evaluation