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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 process?
💡 Hint: Think about how research begins.
Question 2
Easy
Why is data cleaning important?
💡 Hint: Consider the impact of '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 process of gathering data from various sources?
- Data Cleaning
- Data Collection
- Data Analysis
💡 Hint: Think about what happens before any analysis.
Question 2
True or False: Data cleaning is unnecessary if data is collected accurately.
- True
- False
💡 Hint: Consider surprises that might arise even with accurate data.
Solve 3 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
A company has collected vast amounts of sales data over the last five years. Describe a plan to clean and analyze this data for trends on seasonal sales variations.
💡 Hint: Consider how seasonal trends affect sales.
Question 2
Discuss how improper data cleaning could lead to yanlış conclusions in a Data Science project. Provide a hypothetical scenario illustrating potential consequences.
💡 Hint: Think about real-world business applications and their reliance on accurate data.
Challenge and get performance evaluation