Understanding what Tableau will draw as you drag and drop can be a little tricky. In this course, you’ll learn the differences between discrete vs. continuous, dimensions vs. measures and concepts of aggregations.

This course discusses SSRS performance concepts, what factors can contribute to SSRS report performance problems and how to troubleshoot the SSRS environment once those problems already persist.

Learn to use the powerful Node.js framework to bring your web application to life and develop end-to-end applications in JavaScript.

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

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

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.

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.

Explore sentiment analysis for YouTube videos. Learn how to analyze user comments and reactions to the Jake Paul vs. Mike Tyson trailer, using NLP techniques and machine learning to determine public opinion and sentiments.