What is the price of the Training in Great Expectations training?

The price of the Training in Great Expectations training is 2310 $ excl. tax. This includes access to all modules, training materials and personalized support. Funding solutions are available through OPCO.

Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

What is the duration of the Training in Great Expectations training?

The Training in Great Expectations training takes place over 2 days. The program is structured in progressive modules for optimal skill development.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training in Great Expectations training are: Intermediate Python. Pandas basics. Data pipeline fundamentals. Git familiarity.. A preliminary interview validates your eligibility.

Who is the Training in Great Expectations training for?

The Training in Great Expectations training is designed for: Intermediate data engineers. Python data analysts. ETL pipeline developers.. It is tailored to meet the specific needs of this audience.

What are the objectives of the Training in Great Expectations training?

The objectives of the Training in Great Expectations training are: Install and configure Great Expectations effectively. Create expectations to validate reliable data. Integrate GE into automated CI/CD pipelines. Generate Data Docs for data quality reports. Upon completion, you will be able to put these skills into practice.

Is the training available in person?

Yes, the Training in Great Expectations training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training in Great Expectations | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training in Great Expectations training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training in Great Expectations training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training in Great Expectations training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training access terms and deadlines

Training program

Module 1Great Expectations Fundamentals

Dive into Great Expectations, a Python framework for data validation ideal for data quality. Start with pip installation. Create a Data Context with gx init. Explore the project structure. Define Sources. Connect SQL databases. Link Pandas files. Create Expectation Suites using suite new. Edit expectation templates. Test expected values. Check column nullity. Apply regex patterns. Run validations with checkpoint run. Analyze results. Resolve failures. Customize error messages. Integrate with Jupyter notebooks. Live interactive demo. Practice on a sales dataset. Create 10 expectations. Validate full schema. Optimize performance. Manage large volumes. Configure automated Profilers. Auto-generate suites. Edit manually. Version with Git. Best practices for Day 1. Real-time Q&A. Hands-on exercises. Constant trainer support. Master GE basics quickly. Boost data quality in pipelines.

Module 2Advanced Great Expectations and Integrations

Advance to the next level with GE. Integrate into CI/CD pipelines. Configure GitHub Actions. Automate checkpoint runs. Deploy Data Docs. Serve HTML reports. Share insights with the team. Customize renders. Add status badges. Link Slack notifications. Monitor data drifts. Implement Expectation Stores. Use S3 backend. Secure with IAM. Migrate to AWS cloud. Integrate Airflow DAGs. Create custom operators. Schedule regular validations. Manage multi-environments (dev/prod). Unit test expectations with pytest-ge. Mock data sources. Optimize compute costs. Efficient batch processing. Real e-commerce cases. Validate real-time streams. Integrate Kafka streams. Spark DataFrames support. Scale horizontally. Advanced best practices. Advanced failure debugging. Profiling slow suites. Upgrading GE versions. Migrating from v0.18. Future roadmap. In-depth Q&A. Final capstone project. Implement complete pipeline. Present results. Personalized feedback. Access session replays. Downloadable materials. Intermediate certificate issued.