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
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Collaborating with data scientists
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Storytelling with data
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Data bias: origins and impacts
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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
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Understanding black box AI and its alternatives
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The augmentation advantage
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Cleaning and preparing datasets
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Transparency in data collection practices
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Extracting key insights from data
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Ask better questions about data
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Proactive vs reactive data analysis
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Guiding others to better data questions
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When AI adds unique value
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Data organization techniques
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Disadvantages of black box AI
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Building data-driven improvement strategies
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Segment data
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When black box models are used
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Data storytelling fundamentals
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Your personal data discovery playbook
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Requesting statistical calculations
Exercise
Make your data tell better stories
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Optimizing data organization
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Handling sensitive data responsibly
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Making data-driven decisions under constraints
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Interpreting and segmenting data
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Demographic data insights
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Data quality assessment
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Validating AI-generated insights
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Database types and use cases
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Connect data sources to visualization
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Using demographics to segment customers
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