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
Exercise
Overfitting: when models learn too well
Exercise
Why data beats opinions
Exercise
Strategies for diverse data collection
Exercise
The augmentation advantage
Exercise
Cleaning and preparing datasets
Exercise
Ask better questions about data
Exercise
Proactive vs reactive data analysis
Exercise
Guiding others to better data questions
Exercise
Understanding black box AI and its alternatives
Exercise
Disadvantages of black box AI
Exercise
Transparency in data collection practices
Exercise
Building data-driven improvement strategies
Exercise
Segment data
Exercise
When black box models are used
Exercise
When AI adds unique value
Exercise
Data organization techniques
Exercise
Data storytelling fundamentals
Exercise
Extracting key insights from data
Exercise
Requesting statistical calculations
Exercise
Handling sensitive data responsibly
Exercise
Optimizing data organization
Exercise
Demographic data insights
Exercise
Your personal data discovery playbook
Exercise
Make your data tell better stories
Exercise