Two-Day Introduction
A focused introduction to Python, Jupyter notebooks, Excel and CSV imports, basic data manipulation, and a small reconciliation exercise.
Services
Our Services.
Focused support for finance, compliance, reporting, and regulated teams that need software and data work to be clear, repeatable, and explainable.
Training
Python for Finance training for practical teams.
Training is built for finance, accounting, compliance, insurance operations, reporting, and regulated-industry professionals who work heavily with Excel, exported data, and repeatable checks.
Five-Day Applied Course
A fuller applied course covering data quality, exception handling, repeatable folder patterns, and a finance reconciliation capstone project.
Popular training topics
Looking for more bespoke training? Below are common topics, contact us for more information to discuss your specific needs.
Python Foundations
Variables, data types, lists, functions, and enough structure to read and adapt finance notebooks.
Jupyter Notebooks
Running, changing, documenting, and explaining notebook-based work in a browser environment.
Excel and CSV Data
Loading spreadsheet exports, inspecting rows and columns, filtering records, and cleaning values.
Reconciliation
Joining datasets, comparing records, identifying missing items, and checking control totals.
Exception Reporting
Producing clear outputs that support review, correction, auditability, and repeatable handover.
Repeatable Workflows
Turning one-off notebook work into reusable processes with stable inputs, outputs, and checks.
Need a course shaped around your finance or compliance workflow?
Discuss TrainingDevelopment
Data Engineering.
Do you have the data but lack the expertise or resources to use it effectively? We can help with reporting automation, data pipeline cleanup, validation and exceptions, and internal tools.
Reporting Automation
Replace repeated manual handling with documented, repeatable reporting workflows and controlled outputs.
Building Data Pipelines
Design and implement robust data pipelines that can handle the complexity and volume of your data workflows.
Validation and Finalization
Stabilise fragile scripts, clarify inputs and outputs, and make data movement easier to operate.
Internal Tools
Build small applications, scripts, and operational tools that fit the way the team actually works.
Need help with a reporting or data workflow?
Discuss DevelopmentReview
Technical review before the expensive part.
Independent review for teams planning software, automation, data workflows, or technical change. Useful when a second opinion can prevent time, budget, or direction being committed too early.
Architecture Review
Check whether the proposed system shape fits the workflow, constraints, and operational reality.
Delivery Plan Review
Look at scope, sequencing, dependencies, assumptions, and risks before delivery starts moving.
Workflow Review
Assess data quality, auditability, maintainability, handover, and where manual processes create risk.
Implementation Review
Review existing scripts, notebooks, internal tools, and reports for clarity, resilience, and maintainability.
Have a project, architecture, or workflow you want reviewed?
Discuss a Review