Practice Core Areas of Data Science - 1.1.1 | Introduction to Data Science | Data Science Basic
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Core Areas of Data Science

1.1.1 - Core Areas of Data Science

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the first step in the data science process?

💡 Hint: Think about where data comes from.

Question 2 Easy

Why is data cleaning important?

💡 Hint: Consider the impact on analysis.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary goal of data collection?

To analyze data
To gather relevant information
To visualize data

💡 Hint: Think about where you start in a data project.

Question 2

True or False: Data cleaning is unnecessary if you have a large dataset.

True
False

💡 Hint: Consider the quality of data.

3 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a dataset containing customer reviews with missing fields, outline a practical approach for data cleaning before conducting EDA.

💡 Hint: Think about steps to ensure data integrity.

Challenge 2 Hard

Create a data visualization strategy for a sales dataset to present trends to a company board. What tools and techniques would you use?

💡 Hint: Consider the audience's understanding.

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