Welcome to visualizing your data, a class in which we discuss how you could format your information, data sources, and frankly data in order to best dashboard it and drive reporting. Hopefully by the end of this course, you'll have a practical understanding of what it takes to organize your data source, be it a database or a file in order to dashboard it and make easy to understand visualizations and insights.

Additionally, you'll develop the ability to communicate data structures for an end application. This means understanding data access patterns, and how different interfaces hope to access the underlying information. And finally, like all classes in the data engineering learning path, we will be providing practical hands-on examples of what it takes to wrangle and visualize data sources. So you can see how the theory applies in a very direct sense. And before we get started, there are a few prerequisites.

We recommend that you have a familiarity with relational databases such as SQL or NoSQL and some common data formats such as CSV and JSON. Furthermore, understanding how the SQL query language works and a high level understanding of what a business intelligent dashboard looks like and how it operates. If you're unfamiliar with these, check out the other courses in the data engineering learning path, where we cover them or check out Cloud Academy's broader content library, where they cover these topics at depth.

And finally, before we get started, if you're still on the fence about who should attend, this class is ideal for people who are required to interpret or understand data, especially if you're making reports made for use in the broader company or class project, or if you're responsible for ongoing machine learning support and other data initiatives.

Lectures

Data vs. Information - How Do We Make Data Useful? - Storing Your Data - Case Study: Online Store - Course Conclusion