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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

At a glanceCertificate of Completion

Total learning~106 hrs

Duration6-7 months

Weekly pace5-10 hrs/wk

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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.

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.

Tutoring— On-demand subject help the moment a learner gets stuck.

Live assessment— Skills checked against real role expectations, not just quizzes.

Human-graded work— Projects reviewed by people, with actionable feedback.

Coaching— An 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.

Volume pricing that scales with your team's size

Flexible options for enterprise rollout and reporting

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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.

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