Hands-On Analytics Engineering Project
With Connor Dickson
Liked by 735 users
Duration: 30m
Skill level: Intermediate
Released: 6/14/2024
Course details
This course teaches analytics engineers how to pipeline data into the database from an external source for use in visualization. Such tasks are frequently required of the average analytics engineer. The modern company has more access to data than ever before. Analytics engineers are crucial in making that data accessible for stakeholders. In this course, instructor Connor Dickson presents a scenario where you have a working data stack, and a stakeholder has requested that you take existing data from a source, bring it into the database, transform it, and finally visualize it so it provides value and insights.
This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out the “How to use Codespaces” video to learn how to get started.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
-
Showcase on your LinkedIn profile under “Licenses and Certificate” section
-
Download or print out as PDF to share with others
-
Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
-
Tássio do Rosário
Tássio do Rosário
Driving growth with Data @ Standard Bank Moçambique | Data Analyst | Business Intelligence | SQL | Power BI | Excel
-
Contents
What’s included
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units
Similar courses
Download courses
Use your iOS or Android LinkedIn Learning app, and watch courses on your mobile device without an internet connection.