What we'll cover in this course
1. What we'll cover in this course
We won't be spending a lot of time on theory in this course. This course is intended to be extremely practical, so that you can ramp up quickly, apply these concepts right away in Snowflake, and feel confident in what you're doing. This also means that the course won't be exhaustive of all data engineering features or techniques in Snowflake. That's intentional. I want you to get up to speed fast, and the best way to do that is to cut straight to the point with the most common and powerful data engineering features and techniques. To get you to that outcome, we've designed this course to be very hands-on. For most exercises in the course, you're expected to follow along with me as we code up or build something. This is so that you can learn by doing and get hands-on practice with core data engineering concepts. Toward that end, we'll actively use tools like the command line, GitHub, SQL, Python, and more. By the end of this course, you'll be dangerously good at building end-to-end continuous data pipelines using Snowflake. Now, let's talk a little about who this course is best suited for. This course is open to anyone, but it's going to be best suited for folks who have had some previous exposure to data engineering concepts or SQL analytics. For example, perhaps you're building data pipelines today, but you're not using Snowflake, and you're looking to add Snowflake to your technical repertoire. This course is perfect for you. This course is also well-suited for folks who are looking to upskill for a potential career change. So maybe you're a SQL analyst today, and you want to become a data engineer in the future. This course is also right for you. But here's a quick piece of advice from me. Don't get too caught up in wondering whether this course is right for you based on your current professional role. A working knowledge of data engineering concepts will of course be helpful, but you don't necessarily have to be an expert or have professional data engineering experience. In fact, we'll start with some core frameworks and mental models, and then gradually build up to more advanced concepts. And last but not least, this course requires some familiarity with Snowflake core concepts. If you've never used Snowflake, you should consider taking our Intro to Snowflake for Devs, Data Scientists, and Data Engineers course first. With that, let's start building some data pipelines.2. Let's practice!
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