An interactive course that teaches the fundamentals of data visualization in Python using the Seaborn library. Through a series of short lessons and a hands-on project, it covers how to create various types of charts (line plots, bar charts, heatmaps, scatter plots, histograms) and how to choose appropriate plot types to effectively communicate insights. Learners practice by writing code to generate visualizations for given datasets, reinforcing how visual analysis can reveal patterns and insights in data.
An interactive course that teaches the fundamentals of data visualization in Python using the Seaborn library. Through a series of short lessons and a hands-on project, it covers how to create various types of charts (line plots, bar charts, heatmaps, scatter plots, histograms) and how to choose appropriate plot types to effectively communicate insights. Learners practice by writing code to generate visualizations for given datasets, reinforcing how visual analysis can reveal patterns and insights in data.
