Analytics Engineering
3 courses — included as part of your subscription.
Track

Analytics Engineering

This track prepares you for a career in analytics engineering - leading projects that help companies organize, transform, and retrieve information for modeling and insights. The track equips you with knowledge of SQL, Python, and dbt, and provides hands-on projects to practice and demonstrate your skills along the way.

Analytics Engineering with dbt
Python for Production
Advanced SQL
Real-world projects that teach you industry skills.
Learn alongside a small group of your professional peers
Connect with experts through live sessions and office hours
Price
Included with your subscription
Track Duration
3 courses x 4 weeks each
Start Date
October 3, 2022
Registration By
September 30, 2022
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Course 1
Analytics Engineering with dbt

dbt is a game-changer when it comes to shipping trusted data faster. In this course, you will explore the modern analytics stack and best practices to transform, test, and maintain datasets within a cloud data warehouse using dbt. In addition to dbt, you will use modern tools like Snowflake as the data warehouse and Sigma for data visualization.

CREATED AND TAUGHT BY:
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Emily Hawkins
Data Engineering Manager, Data Platform at Drizly
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Jake Hannan (co-instructor)
Senior Analytics Engineer, Sigma Computing
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COURSE CURRICULUM:
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Course 2
Python for Production

This course equips you with the knowledge you need to build, test, deploy, and monitor applications in a real-world context. We’ll cover advanced data structures, APIs, concurrency, and logging, all while providing opportunities to practice your skills with hands-on projects.

CREATED AND TAUGHT BY:
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Matt Harrison
Python & Data Science Corporate Trainer at MetaSnake
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COURSE CURRICULUM:
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Course 3
Advanced SQL

Real world data is messy, confusing, and big. But most SQL courses teach with data that is artificially clean, simple, and small. This is not one of those courses. Over these four weeks, you’ll learn the advanced SQL skills necessary to dive into real datasets with confidence. We’ll clean up messy and nested data, learn about EAV schemas and pivots, and dive deep into advanced window functions. We’ll also cover performance, advanced joins, and other complex SQL patterns to optimize queries. You will walk away ready to be unleashed on any dataset, from your company’s production DB (a read replica, of course) to a public database of trees in your neighborhood.

CREATED AND TAUGHT BY:
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Srinivasan (Sesh) Seshadri
former Engineering Leader at Google, Target, Bell Labs
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COURSE CURRICULUM:

Track electives and related courses

Continue your learning journey

November 7, 2022

Data Modeling for the Modern Warehouse

Miles Russell
Senior Analytics Engineer at GitLab
November 7, 2022

Production Deployment with Kubernetes

Samir Sen
Founder & CEO, Flair Labs
November 21, 2022

Data Engineering with Dagster

Dennis Hume
former Staff Data Engineer at Dutchie

Trusted by learners from top 500 companies:

Interested in upskilling your company?

I wanted to take some time to #shoutout to the amazing co:rise team - Emily Hawkins, Jake Hannan, and Sourabh Bajaj for their efforts and enthusiasm around their Analytics Engineering with #dbt course. The cohort has been nothing short of amazing - from the - Weekly guest speakers from the data industry, who share their experiences with dbt Labs - Weekly code reviews with group members of different backgrounds and industries - Weekly lectures and hands-on weekly projects in Gitpod and GitHub I look forward to the last two weeks of the course!

Taylor HairstonAnalytics Engineer @ Slalom

This course has been an amazing learning experience - no only because of the content of the course but also the way in which is taught! It has the perfect mix of online - individual work - community time and resources. The teaching materials are very high quality and the whole team are super attentive and responsive. It's a great way to learn hands-on experience with dbt, get exposed to real life problems, industry experts and also networking! I highly recommend it!

Sara GasparSenior BI Analyst, Lyst

I appreciated Sesh's dedication to everyone in the SQL course, and the fact that he incorporated feedback to make sure that the course was most effective.

Jason Dexter Analytics Engineer

I liked the format and the structure of the examples made a lot of sense. I think our engineering community sometimes struggles with the unrealistic example data we must work with that it’s hard to relate back to our jobs.

Norman B.Reliability Engineer

This was by far the best training course I have attended. The way it was structured and the support available from the instructor and TAs really made the learning valuable and lasting. I am looking forward to other courses in the near future!

TJ PolakSenior Manager of Business Intelligence, Embark Veterinary

Real-world projects

Work on projects that bring your learning to life.
Made to be directly applicable in your work.

Live access to experts

Sessions and Q&As with our expert instructors, along with real-world projects.

Network & community

Core reviews a study groups. Share experiences and learn alongside a global network of professionals.

Support & accountability

We have a system in place to make sure you complete the course, and to help nudge you along the way.

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For $1000, get access to this track ($1500 value) + the complete catalog!
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Average course price $500

This track is for...

Technology-oriented professionals looking to break into engineering careers.

Data/Business Analysts looking to deepen their technical skills for advanced roles.

Data Scientists looking to strengthen their data organization and retrieval skills.

Prerequisites

Basic proficiency in Python and SQL (as covered in Python Crash Course and Intro to SQL on CoRise).

Prior exposure to database and data warehouse tools is helpful, though not required.

Frequently Asked Questions

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