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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the primary purpose of Python in data science?
💡 Hint: Think about what Python helps you do with data.
Question 2
Easy
Name a popular library used in R for data visualization.
💡 Hint: Recall the R package that helps create graphs.
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
Which programming language is known for its simplicity and versatility in data science?
- R
- Python
- Java
💡 Hint: Consider the language often recommended for beginners in data science.
Question 2
True or False: R is primarily used for statistical analysis.
- True
- False
💡 Hint: Think about the primary audience for R.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a data analysis project using either Python or R. Explain why you chose the language and what libraries you would use.
💡 Hint: Consider the project's requirements and your comfort level with each language.
Question 2
Construct a hypothetical survey dataset and explain how you would visualize its results using R's ggplot2.
💡 Hint: Think about the types of data you could collect and how to present them visually.
Challenge and get performance evaluation