Data Science Exercises
Explore hands-on “Data Science” exercises to sharpen your skills and level up your craft. Want more? Browse all search results
Exercise
Organize research data into a repository
Exercise
Data dependence of AI tools
Exercise
Collaborating with data scientists
Exercise
Data bias: origins and impacts
Exercise
Storytelling with data
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Overfitting: when models learn too well
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Why data beats opinions
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Strategies for diverse data collection
Exercise
The augmentation advantage
Exercise
Cleaning and preparing datasets
Exercise
Ask better questions about data
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Proactive vs reactive data analysis
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Guiding others to better data questions
Exercise
When AI adds unique value
Exercise
Understanding black box AI and its alternatives
Exercise
Disadvantages of black box AI
Exercise
Transparency in data collection practices
Exercise
Extracting key insights from data
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Building data-driven improvement strategies
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Segment data
Exercise
When black box models are used
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Data organization techniques
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Data storytelling fundamentals
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Requesting statistical calculations
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Make your data tell better stories
Exercise
Optimizing data organization
Exercise
Handling sensitive data responsibly
Exercise
Demographic data insights
Exercise
Your personal data discovery playbook
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Database types and use cases
Exercise
Making data-driven decisions under constraints
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Data quality assessment
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Connect data sources to visualization
Exercise
Using demographics to segment customers
Exercise