Most people make the transition from analyst to analytics engineer internally, so we’ve designed this course to help support this transition. This differs from many boot camps, that are designed to help someone make a career (and employer) change, often including a job search component in the course.
By targeting the course towards students who are looking to make this transition internally, we can deliver a more effective course:
- Each week we include ways for students to relate what we’ve learned in the classroom to their own environment, further cementing what we’ve learned
- Some companies may choose to give their employee time to complete coursework during the week, meaning students won’t feel overloaded when completing the course
Further, the feedback we’re getting from the industry is that hiring managers want this course to enable them to cast a wider net when hiring — if they can outsource their training to us, they are able to hire people that may not have previous experience with a modern data stack and be confident they’ll get up to speed quickly.
The course can be completed over the span of 10 weeks with roughly 3-4 hours worth of coursework each week. The course is completely asynchronous and contains videos, written content, and self-led exercises.
This course is designed for students who are currently employed as data analysts:
✅ You can write the SQL to calculate the monthly revenue of a business (given an orders table), though you’d like some feedback on the best way to write that SQL
✅ You’re comfortable with the terms “table”, “view” and “schema” in a database (though perhaps the differences between a table and view are a little blurry)
✅ Your company is supporting you in taking this next step
This course is not for you if you’re already comfortable using git, dbt, and writing small python scripts — we hope to offer more advanced courses in the future for students in this category.
That’s not a question! But that is something we’re interested in. Drop us an email, and we’ll get in touch.
Still have questions?