Data Literacy: Statistical Research Tools
Build a strong foundation in data science and data literacy! This pathway explores key concepts like distributions, variability, and centrality, alongside hands-on practice in data visualization, correlation vs. causation, and experimental design. Learn to interpret biological and chemical data through graphs, histograms, and decision trees—turning raw data into meaningful insights!
Related resources
Topics
- data literacy
- statistics
- histogram
- variables
- distributions
- data types
- correlation
- causation
- scatter plot
- line graph