Training Great Expectations 2026 - Validate professional data quality

$1,155

  • 1 day
  • Onsite
  • 10 people max.
Ref: QNY491
10 people max.
$1,155
In-company rate: from $2,195 for the whole team
On-site and certification exam on quote
1 day
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of Great Expectations 2026, data teams lose an average of 30% of their time on tedious manual data cleaning, multiplying delays in analytical projects.

  • Data quality errors cause up to 20% in annual business losses according to Gartner, with incidents such as biased ML models impacting millions of euros.

  • In 2026, 85% of data project failures are linked to faulty validation, hindering competitiveness and exposing companies to GDPR regulatory risks.

  • Every month without these skills widens the gap with competitors who automate data reliability for ultra-fast deliveries.

Alicia DIOH, Managing Director · Finance, AI & Management trainer
Alicia DIOH

Managing Director · Finance, AI & Management trainer

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

41,113 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft
  • Atos

Every program built with a dedicated engineer

  • OpenAI
  • Anthropic
  • Mistral AI
  • NVIDIA
  • Google
  • Amazon Web Services
  • Microsoft Dynamics 365
  • Salesforce
  • ServiceNow
  • SAP
  • Oracle
  • Cisco
  • Fortinet
  • Palo Alto Networks
  • Aruba
  • VMware
  • Red Hat
  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.

Great Expectations training objectives

  • Master the fundamentals of Great Expectations 2026 to validate professional datasets
  • Develop custom expectations ensuring data reliability in enterprise settings
  • Configure automated test suites for certifying data pipelines
  • Implement Data Docs report generation for team sharing
  • Optimize validation workflows with CLI and Jupyter in professional contexts
  • Acquire certifying skills in data quality for real-world projects

Program

Great Expectations curriculum: 1 module over 1 day

Module 1 : Great Expectations 2026 Fundamentals: installation, expectations, and data validations (CLI, Jupyter, Pandas)

Quick installation of Great Expectations 2026 in a dedicated Python virtual environment, creation of the first datastore connected to your CSV files or SQL databases, definition of basic expectations to check completeness, uniqueness, and data types on real enterprise datasets, execution of test suites via CLI and interactive Jupyter notebooks, practical exercises on concrete cases such as client log cleaning, automatic generation of HTML Data Docs to visualize results and action plans, setup of a first validated pipeline with trainer feedback for immediate production application.

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
  • Presentation of the ongoing project for data validation to the trainer

How the Great Expectations course is taught

  • Courses led by an active expert data engineering trainer
  • Practical exercises on real business cases with Great Expectations
  • Progressive ongoing project to validate a complete data pipeline
  • Complete course materials provided to each participant

Great Expectations training: access and practical arrangements

The Training Great Expectations 2026 - Validate professional data quality 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 2026 - Validate professional data quality 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 2026 - Validate professional data quality 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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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.

A child walking to school with a backpack
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
Enroll and offer a kit
FAQ

Great Expectations: frequently asked questions

Which tools are used in Great Expectations 2026 training?+
Hands-on work runs on CLI, jupyter and pandas. Those tools come from the Great Expectations 2026 program itself, delivered on site over 1 day, so participants practise on the stack they will use at work.
What can participants do after Great Expectations 2026 training?+
They can master the fundamentals of Great Expectations 2026 to validate professional datasets, develop custom expectations ensuring data reliability in enterprise settings and configure automated test suites for certifying data pipelines. Those are the stated objectives of the Great Expectations 2026 program at Beginner level, checked by the end-of-session assessment.
How is Great Expectations 2026 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 presentation of the ongoing project for data validation to the trainer. Learni issues a completion certificate together with the individual assessment report at the end of the Great Expectations 2026 program, which an L&D team can file as evidence.
How much does Great Expectations 2026 training cost per participant?+
Great Expectations 2026 training costs $1,155 per participant. For an in-company team, the flat rate starts at $2,195 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 2026 training take?+
1 day, 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 2026 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 2026 training?+
Basic knowledge of Python, Pandas, and CSV/JSON data file management.
Is a certificate issued after Great Expectations 2026 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 2026 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
On-site & remote

Great Expectations training in your city

Available on-site and remotely. Pick your city to see the local training center.

Share in 2 clicks