What you’ll take away.
- Record the question, data provenance and notebook structure
- Connect code, explanations and visualisation
- Agree results, limitations and sharing format
Your training in detail
- Who is it for?
- Analysts, research teams and Python users working with data.
- Prerequisites
- Python fundamentals and initial experience with spreadsheet or CSV data.
- Format & planning
- Scope and dates by arrangement
Agenda: from understanding to application
Our independently developed agenda proposal. Focus areas, lab environment and scope are agreed before booking.
Record the question, data provenance and notebook structure
Load data and visibly test assumptions
Connect code, explanations and visualisation
Restart the kernel and check a complete run
Agree results, limitations and sharing format
Analyse fictional service times and run the notebook from a fresh kernel. Document a data gap and its effect on interpretation.
Exams, licences & credentials
Independent NextNowa workshop without vendor certification or external examination. Software licences and practice access are agreed in advance.
Vendor references & review date
Sources checked on 2026-10-23. These sources describe the technology or external exam requirements. They do not imply a partnership with NextNowa.
Your learning content
These objectives describe the training topic. The specific syllabus, duration, dates, trainer and price are agreed before booking.
