Data Visualization Courses

This course is an introduction to data visualization and will apply three main frameworks for data visualization in Python. The three primary libraries that we will use include Matplotlib, Seaborn, Plotly, and GGPlot2(Grammer of Graphics). By the end of the course, students will be able to

Create summary statistics for a single group and different groups

Generate graphical display of data: histograms, QQ-plot, box plots, bar plots, empirical cumulative distribution, dot charts, and pie charts.

Upon completion, participants will be able to:

create various graphical summaries of data

describe the “grammar” of ggplot2 functions

build custom visualizations with ggplot2

This course is an introduction to data visualization and will apply three main frameworks for data visualization in Python. The three primary libraries that we will use include Matplotlib, Seaborn, Plotly, and GGPlot2(Grammer of Graphics). By the end of the course, students will be able to

Create summary statistics for a single group and different groups

Generate graphical display of data: histograms, QQ-plot, box plots, bar plots, empirical cumulative distribution, dot charts, and pie charts.

Upon completion, participants will be able to:

create various graphical summaries of data

describe the “grammar” of ggplot2 functions

build custom visualizations with ggplot2