Understand data, interpret charts, and make informed decisions. No coding required—just practical data thinking skills.
What data represents, quantitative vs qualitative data, structured vs unstructured data, and data sources.
Bar charts, line graphs, pie charts, scatter plots, and when each type is appropriate.
Mean, median, mode, standard deviation, percentiles, and understanding distributions.
Misleading visualizations, selection bias, correlation vs causation, and data manipulation tactics.