From the course: Complete Guide to Analytics Engineering

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Course contents overview

Course contents overview

- [Instructor] Despite this course being named the Complete Guide to Analytics Engineering, I don't think it's possible for us to cover every last topic you could ever face as an analytics engineer. That's just not feasible. That being said, this course has 10 chapters and nearly 70 videos covering the most common tools and skills necessary in the average analytics engineering role. We'll start off by discussing analytics as a whole, and contrasting the different niche roles that exist within the space. Once we have a firm grasp on analytics, we'll explore the various database designs and techniques for storing data. That will set our foundation, and prepare us to dive into the Python programming language. We'll spend a good chunk of time practicing manipulating and analyzing data with Python, then we'll discuss and practice some data pipeline techniques. After that, we'll query data with SQL, learn about data modeling, and build some data visualizations with Tableau, a really popular…

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