Master creating and customizing 2D and 3D plots and gain fine control over your visualizations.

Master real-time data visualization using Socket.IO and Chart.js. Learn how to create interactive, live-updating charts and graphs by combining real-time WebSocket communication with stunning visual representations of data.

Master integration, correlation identification, and anomaly detection for informed decision-making.

Learn how to create and customize pie charts, bar graphs, and other data visualizations with Microsoft Excel.

Learn to make effective data visualizations in Python with Matplotlib and Seaborn.

Learn to make effective data visualizations in Python with Matplotlib and Seaborn.

Learn to make effective data visualizations in Python with Matplotlib and Seaborn.

By combining the stream processing capabilities of Azure Stream Analytics and the data visualization capabilities of Microsoft Power BI, you can create real-time data dashboards.

Learn how to visualize big data in R using ggplot2 and trelliscopejs.

Data visualization is an important step for professionals who want to make sense of data for machine learning purposes or even presenting meaningful data to an audience. In this course you will see how to do data visualization using AWS QuickSight.

This course will teach you how to leverage generative AI in producing meaningful and effective data visualizations.

Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.