This is a great question. We designed this course for those with absolutely no Snowflake knowledge, and very minimal SQL and Python knowledge, so we thought it would be more accurate to call it a beginner course than it would be to call it an intermediate course. But it's accurate to say that we expect you to come into the course with some knowledge, so it's not truly prerequisite-free.

For SQL, we don't teach you how to run a basic "SELECT column_name FROM table" query, and if you don't know that, this might move a bit too fast. But if you know that, and "WHERE" and "GROUP BY" and "ORDER BY," you're in decent shape on the SQL side. And on the Python side, if you're familiar with importing a library, if you know what a function is, if you know Python basics (you don't get overly nervous when you see a list), and if you have manipulated a dataframe, you should be good.

You should take comfort in the fact that we designed this for a wide range of data practitioners (data scientists, data engineers, and data app developers or people who aspire to one of those roles), so we really try not to assume that you know anything about what those functions do. (We don't want to dive into app jargon too fast, only to confuse data scientists who haven't built apps.) We tried hard to make the course accessible.

You can access all course content without paying (all videos, hands-on assignments, readings, etc.), except for the knowledge check quizzes. You also cannot get a Coursera certificate of completion without paying.

You can find developer resources at developers.snowflake.com, and our product documentation at docs.snowflake.com.