Learn how to use the CanvasJS charting library to integrate data visualizations into websites and apps.

In this course, Build Your First Data Visualization with FusionCharts, you will explore how data visualization gives us a complete story and also gives us a prediction of the future.

Graphical charts are one of the most effective ways to gain insight into large datasets. This course will teach you how to use vis.js to create effective charts and add them to your web applications.

To capitalize on the great asset of data, the right culture needs to exist. Take this Executive Briefing to learn more about how your organization can establish a data literate culture.

Learn to build web applications using JavaScript and IndexedDB, focusing on client-side storage and real-time data management techniques.

Discover several techniques used to build charts and visualizations in Qlik, ranging from relatively simple chart types and properties to very complex applications that link charts to expressions and utilize master measures and dimensions.

Well crafted dashboards offer key insights to users quickly and efficiently. This course will teach you to build useful dashboards with Prometheus data in Grafana.

Learn how to access a relational database from the Elixir application.

Learn how to bring all your elements together (literally) in this advanced course. You will learn some of the science behind dashboarding and all the technical skills you need to deliver high-quality content for any device in Tableau Desktop.

Effective data communication is more important now than ever! Understanding the presentation side of data is a growing skill gap across all industries. By becoming an efficient data translator, you position yourself as a critical part of any team.

In this course, you'll learn how to make use of SSRS features to create interactive reports. The reports will become dynamic for users by using functionalities such as drilldown, drill through, interactive sorting, jump actions, and document maps.

BigQuery ML on the Google Cloud Platform democratizes machine learning by allowing data analysts and engineers to build and use machine learning models directly from SQL without using any higher level programming language.