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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of data analysis?
💡 Hint: Think of what we do with data before making decisions.
Question 2
Easy
Name two types of visualizations used in data analysis.
💡 Hint: These tools help in seeing patterns or trends.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does data exploration primarily aim to uncover?
💡 Hint: Think about what you want to find in large datasets.
Question 2
True or False: Correlation implies causation.
💡 Hint: Remember the classic saying: correlation does not equal causation.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Given a dataset with daily website traffic and corresponding sales data, analyze the data to determine if there's a correlation and suggest why this might be important.
💡 Hint: Look for patterns in how traffic influences sales figures.
Question 2
You are presented with anomalies in sales data indicating a sudden spike. Analyze potential reasons for this and how you would investigate further.
💡 Hint: Consider historical sales data and any promotional efforts.
Challenge and get performance evaluation