Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
Training Great Expectations - Validate Your Data in the Enterprise
Trusted by — schools, companies and industrial groups
41,114 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.
Great Expectations training objectives
- Master the fundamentals of Great Expectations to validate professional datasets
- Develop automated and reusable data checks for enterprise environments
- Implement automatic documentation of data expectations
- Configure expectation suites tailored to real-world certifying cases
- Integrate Great Expectations into data workflows for certification training
- Optimize data pipeline quality with advanced profiling
Program
Great Expectations curriculum: 2 modules over 2 days
Module 1 : Great Expectations Fundamentals: Installation and First Data Checks (CLI, GX Cloud, Profiling)
Quick installation of Great Expectations via pip or Docker, creation of the first data project with Data Context initialization, interactive exploration of datasets via the automatic profiler to identify schemas and anomalies, writing basic checks on types, null values, and statistical distributions, practical exercises on real enterprise datasets like logs or sales, generation of visual HTML reports, and first validated expectation suite live with trainer feedback.
Module 2 : Advanced Great Expectations Suites: Pipeline Integration and CI/CD (Pandas, Spark, GitHub Actions)
Design of complex expectation suites for multi-data sources like SQL and CSV, native integration with pandas and Spark to scale validations, automation of runs via Python scripts and Git hooks, CI/CD setup with GitHub Actions for daily checks, practical cases on a complete ETL pipeline with real-time debugging, production of customized and shareable Data Docs documentation, finalization of the ongoing project with deployment on GX Cloud and evaluation of acquired skills.
How Great Expectations skills are assessed
- Multiple-choice quiz to validate acquired knowledge at the end of the training
- Continuous evaluation through practical exercises on datasets
- Defense of the Great Expectations ongoing project in front of the trainer
How the Great Expectations course is taught
- Courses led by an active expert data engineering trainer
- Practical exercises on real enterprise data cases and open data
- Progressive ongoing project to validate complete pipelines
- Complete course materials and code examples provided to each participant
Great Expectations training: access and practical arrangements
The Training Great Expectations - Validate Your Data in the Enterprise program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training Great Expectations - Validate Your Data in the Enterprise program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training Great Expectations - Validate Your Data in the Enterprise program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Our method
How Learni guarantees the quality of your Great Expectations training
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
Our social commitment
A school kit donated to a child for every training booked
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
FAQ
Great Expectations: frequently asked questions
Which tools are used in Great Expectations training?+
Hands-on work runs on CLI, GX Cloud, profiling, pandas, spark and gitHub Actions. Those tools come from the Great Expectations program itself, delivered on site over 2 days, so participants practise on the stack they will use at work.
What can participants do after Great Expectations training?+
They can master the fundamentals of Great Expectations to validate professional datasets, develop automated and reusable data checks for enterprise environments and implement automatic documentation of data expectations. Those are the stated objectives of the Great Expectations program at Beginner level, checked by the end-of-session assessment.
What does the Great Expectations program cover, day by day?+
Day 1: Great Expectations Fundamentals: Installation and First Data Checks (CLI, GX Cloud, Profiling). Day 2: Advanced Great Expectations Suites: Pipeline Integration and CI/CD (Pandas, Spark, GitHub Actions). The Great Expectations program runs over 2 days, delivered on site.
How is Great Expectations training assessed?+
Assessment relies on multiple-choice quiz to validate acquired knowledge at the end of the training, continuous evaluation through practical exercises on datasets and defense of the Great Expectations ongoing project in front of the trainer. Learni issues a completion certificate together with the individual assessment report at the end of the Great Expectations program, which an L&D team can file as evidence.
How much does Great Expectations training cost per participant?+
Great Expectations training costs $2,310 per participant. For an in-company team, the flat rate starts at $4,190 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Great Expectations training take?+
2 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Great Expectations training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Great Expectations training?+
Python basics, data manipulation with pandas, and ETL pipeline concepts.
Is a certificate issued after Great Expectations training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Great Expectations training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
Your professional training, anywhere
Let's build your Great Expectations learning path.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
Reply within 24h · Vetted experts · USD invoicing · W-9 available
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