Consulting and project inquiries

NEKpress.ca may be able to help with bounded, practical projects where the work can be scoped, tested, and explained clearly.

Good-fit inquiries may include:

• statistics and data-analysis project planning;
• reproducible reporting workflows;
• Python/R statistics reproducibility checks;
• PyStatsV1 learning support;
• APA-style statistical results and methods review;
• research-question, scope, and data-boundary triage.

A first conversation clarifies scope and fit. It does not guarantee research outcomes, business results, legal compliance, tax treatment, payment-provider approval, cybersecurity posture, emergency support, or unlimited technical support.

This MVP does not include student accounts, private learner records, managed hosting for clients, formal course enrollment, or live Stripe activation by default.

For now, use the contact path at NEKpress.ca. The APA Article Lab shows the proof-first, synthetic-data workflow used for future learning materials. Initial contact should not include identifiable human-subject data, credentials, or restricted files.