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 connect Snowflake to BI tools such as Tableau and Power BI. You'll also learn how to visualize and create dashboards within each of the tools.

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.

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

This course will teach you how to use the graphing features within Wireshark to visualize packet data, making network problems easier to find.

Data analysts and scientists are tasked with extracting information and insights from huge datasets. This course introduces the Seaborn Python library helping engineers communicate information via its high-level and powerful visualization tools.

Visualize seasonality, trends and other patterns in your time series data.

Learn how to visualize time series in R, then practice with a stock-picking case study.

Q&A session discussing the VMWare ESXi Vulnerability, CVE-2021-21974