Learn to work with data structures, visualize data, and find patterns
What they are and why they matter for AI and computer science
Organize messy data into lists, tables, trees, and graphs
Learn about hierarchies and decision paths in tree structures
Build folder hierarchies and test search efficiency
Networks, connections, and relationships in graph structures
Create graphs to model social networks, maps, and more
Reading and interpreting different types of graphs
Toggle datasets through different chart types to find the best fit
Tell compelling stories with data through effective visuals
Interpret patterns and write data stories from scatterplots
How visuals can trick you and how to spot deception
Identify deceptive charts and explain what's wrong
Why messy data creates wrong conclusions in AI
Correct errors, duplicates, and outliers in messy data
Human data insight skills - finding patterns without AI
Cluster data manually and compare to K-means algorithm