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Self-pacedData Engineering
Certificate of Completion · For teams

Learn Data Engineering

Learn to build and manage the systems that make reliable data accessible, organized, and ready for analysis.

Custom pricing for your team's size — get a quote in 24 hours
At a glanceCertificate of Completion
Total learning~106 hrs
Duration6-7 months
Weekly pace5-10 hrs/wk
Get pricing for your team

Typical quote turnaround: 24 hours

Analyst reviewing data on a laptop
Program overview

Turn raw data into reliable, actionable insights

Build practical data engineering skills across databases, SQL, Python, ETL, data warehousing, APIs, and reporting. Learners gain hands-on experience organizing, transforming, and connecting data so teams can access reliable information and make better decisions.

SQL Python Data modeling ETL Data warehousing NoSQL & MongoDB APIs PySpark Airflow Tableau
What your team will be able to do

Skills your team applies on the job

Query and manage data with SQL
Manipulate and transform data with Python
Build data models and work with relational and NoSQL databases
Create and manage ETL pipelines
Design and optimize data warehouses
Process data with pandas and PySpark
How the program works

A guided path from fundamentals to mastery

Every module blends short video lessons, readings, and hands-on exercises — then applied projects prove the skill and assessments confirm mastery.

Analytics dashboard on a screen
Learn · video & readings
Practice · hands-on
Apply · real projects
Assess · role checks
How work is graded
Practice is auto-checked
Instant right/wrong feedback as learners go.
Projects are human-graded
Reviewed by instructors with written feedback.
Assessed against the role
Live assessments confirm real job readiness.
Who this is for

Built for the people already on your team

Designed for people with some exposure to data, analytics, or technology who want to build deeper technical skills and prepare for data engineering work. The program is a strong fit for analysts and technical support professionals looking to develop experience with databases, programming, data pipelines, warehousing, and APIs.

Great fit for roles like
Data AnalystBusiness Intelligence AnalystReporting AnalystJunior Developer
Basics covered along the way
No degree required
Time commitment

A real curriculum, on your team's schedule

Fully self-paced — learners fit study around their working week, and the whole team doesn't have to move in lockstep.

~106
hours of learning
Guided, hands-on training per learner across the full program.
6-7
months to finish
A typical completion window at a steady, sustainable pace.
5-10
hours per week
The weekly pace most teams plan around, flexible by learner.
A mentor supporting a learner at a laptop
What sets us apart

Real human support — not just videos

Where most online learning leaves people to figure it out alone, live help is woven through every stage. That's what drives completion, not just enrollment.

TutoringOn-demand subject help the moment a learner gets stuck.
Live assessmentSkills checked against real role expectations, not just quizzes.
Human-graded workProjects reviewed by people, with actionable feedback.
CoachingAn academic coach keeps each learner on pace to finish.
Get team pricing

Custom pricing, built around your team

Pricing depends on your team size and enterprise needs — so the fastest way to an accurate number is a quick conversation. Tell us a little about your team and we'll send a tailored quote.

Get a quote in 24 hours — no lengthy sales process
Volume pricing that scales with your team's size
Flexible options for enterprise rollout and reporting
Talk to our team
Questions

Frequently asked

Pricing is customized to your team's size and rollout needs, so we quote per organization rather than list a single price. Request a quote and we'll send an accurate number within 24 hours.