
edXData visualization is only half the answer. The second half is infrastructure: storing data at scale, querying it without friction, and deploying models that actually run. This course integrates both, treating visualization and cloud architecture as parts of the same system.
You'll design compelling visualizations—charts and dashboards that drive decisions—then shift to the cloud layer: building scalable data warehouses that hold large datasets, querying them efficiently, and deploying machine learning models for production use. The two halves connect. A brilliant visualization is useless if the data behind it is stale or inaccessible.
Practical and modern. You'll work with real cloud tools, understand how data flows from source to insight, and manage the full pipeline from ingestion through analysis to decision. For analysts, engineers, and product teams who want to move beyond static reports.
In this course, gain experience in data visualization and cloud technologies to support business analytics. In the first half of the course, create and share compelling data visualizations to enhance decision-making. In the second half of the course, use cloud technologies to build scalable data warehouses, analyze big data, and develop and deploy machine learning models.
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Tracking since 1 Aug— not enough history yet to tell you whether today's price is any good. Watch the course and we'll tell you when it drops.
This is what we recorded in US pricing — not every price this course has ever had, and prices differ by country.