Overview
This course aims to teach beginners how to create visualizations using Matplotlib and Seaborn for exploratory data analysis in Python. The learning outcomes include building intuition about Machine Learning problems through fundamental visualizations. The course covers skills such as downloading data, reading data, creating histograms, box plots, violin plots, bar charts, line charts, scatter plots, stacker bar plots, and displaying images. The teaching method involves a tutorial format with practical demonstrations. The intended audience for this course is beginners interested in data visualization and exploratory data analysis using Python.
Syllabus
Download the data
Reading the data
Histogram
Box Plot
Violin Plot
Bar Chart
Line Chart
Scatter plot
Stacker Bar Plot
Showing an image
Taught by
Venelin Valkov