Graph courses can help you learn about graph theory, data visualization, network analysis, and algorithm design. You can build skills in identifying relationships within data, optimizing paths, and analyzing connectivity. Many courses introduce tools like Gephi, NetworkX, and Tableau, that support visualizing complex data structures and performing in-depth analysis. By working with these tools, you'll gain practical experience in transforming raw data into meaningful insights, enhancing your ability to communicate findings effectively.

Johns Hopkins University
Skills you'll gain: Rmarkdown, Shiny (R Package), Ggplot2, Tidyverse (R Package), Data Visualization, Spatial Data Analysis, Statistical Visualization, Scatter Plots, Plot (Graphics), Dashboard, Data Import/Export, Interactive Data Visualization, R Programming, Data Visualization Software, Geospatial Information and Technology, Data Literacy, Statistical Reporting, Storyboarding, Data Science, Data Analysis
Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Data Visualization Software, Scientific Visualization, Interactive Data Visualization, Geospatial Information and Technology, Data Presentation, Color Theory, Graphic and Visual Design, Data Visualization, Tree Maps, Visualization (Computer Graphics), Data Storytelling, Design Elements And Principles, Plot (Graphics), Data Literacy, Heat Maps, Computer Displays, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Mapping, Display Devices
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Plot (Graphics), Data Visualization, Graphing, Matplotlib, Data Visualization Software, Graphical Tools, Histogram, Data Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours