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5 cards from this section. Quick, good the night before a test.
What is the first step in the data science process?
Think about where data comes from.
Why is data cleaning important?
Consider the impact on analysis.
What is the primary goal of data collection?
Think about where you start in a data project.
True or False: Data cleaning is unnecessary if you have a large dataset.
Consider the quality of data.
Given a dataset containing customer reviews with missing fields, outline a practical approach for data cleaning before conducting EDA.
Think about steps to ensure data integrity.
Create a data visualization strategy for a sales dataset to present trends to a company board. What tools and techniques would you use?
Consider the audience's understanding.
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