Updated in May 2025.

This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course offers an in-depth exploration of data integration and visualization using Elasticsearch, Logstash, and Kibana, providing you with the tools and knowledge needed to manage and present complex data. The journey begins with understanding how to import data into Elasticsearch, whether it’s small-scale data or large datasets. You'll learn to use scripts, client libraries, and Logstash for data import, with practical exercises to reinforce your understanding. The use of Logstash is thoroughly covered, including working with various data formats and integrating data from MySQL, S3, and Kafka. As the course progresses, you'll dive into the world of data aggregation within Elasticsearch. You will explore concepts like buckets, metrics, and histograms, which are essential for analyzing and summarizing data. Through hands-on exercises, you'll learn how to effectively use aggregations to generate meaningful insights from time series data and nested data structures, ensuring that you can extract the maximum value from your data. In the final sections, the course shifts focus to visualization, teaching you how to harness the power of Kibana to create compelling, interactive dashboards. You'll start by installing and configuring Kibana, followed by an exploration of its core features, such as Kibana Lens and Canvas. These tools will enable you to visualize data in a way that is both informative and visually appealing, making your data presentations stand out. By the end of the course, you'll have a solid foundation in data integration, aggregation, and visualization, empowering you to transform raw data into actionable insights. This course is designed for data engineers, analysts, and IT professionals who need to integrate, manage, and visualize data using Elasticsearch and Kibana. A basic understanding of databases and data structures is recommended to fully benefit from the course