From the course: SQL for Data Analysis

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Leveling up SQL

Leveling up SQL

- We've reached the end of the course. By now, we've talked about what SQL is and how to use it. We've gone over some basic syntax to get information from a table and common functions to use that data. Then we brought it all together in a web visualization project using Python. We've done a lot, but this is only the beginning of incorporating SQL into your data driven web applications. So where do we go from here? If you're newer to data development, you should know that most calls to your data database occur on the backend. So if you're interested in using SQL for web development, learning more about backend or even full stack web development may be a good idea. Also, this course was a high-level overview. You can create web apps to enter customers, update orders or allow customers to place their own orders but that's something we wouldn't do from a Jupyter Notebook. To do that, you should learn more about how to incorporate…

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