Technology careers · Early access
Python for Data & Automation
Build an evidence-led Python for Data & Automation foundation you can explain in a real workplace or interview.
Learn programming logic for data tasks and workplace automation through safe, explainable projects.
About this course
A beginner-friendly programme for data-minded learners who want to understand Python concepts, data structures, files, analysis workflows and automation planning. It focuses on readable thinking, testing and responsible handling of data.
Career relevance
Where this can take you
Designed for learners exploring technology careers and building a practical, honest portfolio.
Portfolio project: Create a Python for Data & Automation capstone pack that documents your purpose, method, evidence, quality check and next action.
Skills you will gain
Practical skills, not just theory
What you will learn
Break an automation problem into clear steps and data inputs.
Use core Python concepts and readable data structures.
Plan safe file, data and error-handling workflows.
Explain testing, limitations and responsible automation boundaries.
Built in private
A proper, guided course experience
Every module contains four paced lessons: core learning, workplace scenario, professional reflection and an applied decision lab. Learners complete practical workshops and portfolio evidence before the scored final assessment. Course materials remain locked until launch.
Programming mindset and setup
Module 1 of Python for Data & Automation: build practical understanding, make evidence-led decisions and create portfolio-ready work for programming mindset and setup.
Four guided lessons + applied workshop · Coming soon
Variables, types and expressions
Module 2 of Python for Data & Automation: build practical understanding, make evidence-led decisions and create portfolio-ready work for variables, types and expressions.
Four guided lessons + applied workshop · Coming soon
Conditions, loops and functions
Module 3 of Python for Data & Automation: build practical understanding, make evidence-led decisions and create portfolio-ready work for conditions, loops and functions.
Four guided lessons + applied workshop · Coming soon
Lists, dictionaries and structured data
Module 4 of Python for Data & Automation: build practical understanding, make evidence-led decisions and create portfolio-ready work for lists, dictionaries and structured data.
Four guided lessons + applied workshop · Coming soon
Files, inputs and careful outputs
Module 5 of Python for Data & Automation: build practical understanding, make evidence-led decisions and create portfolio-ready work for files, inputs and careful outputs.
Four guided lessons + applied workshop · Coming soon
Data cleaning and analysis thinking
Module 6 of Python for Data & Automation: build practical understanding, make evidence-led decisions and create portfolio-ready work for data cleaning and analysis thinking.
Four guided lessons + applied workshop · Coming soon
APIs and automation boundaries
Module 7 of Python for Data & Automation: build practical understanding, make evidence-led decisions and create portfolio-ready work for apis and automation boundaries.
Four guided lessons + applied workshop · Coming soon
Error handling, testing and debugging
Module 8 of Python for Data & Automation: build practical understanding, make evidence-led decisions and create portfolio-ready work for error handling, testing and debugging.
Four guided lessons + applied workshop · Coming soon
Privacy, secrets and responsible automation
Module 9 of Python for Data & Automation: build practical understanding, make evidence-led decisions and create portfolio-ready work for privacy, secrets and responsible automation.
Four guided lessons + applied workshop · Coming soon
Version control and project communication
Module 10 of Python for Data & Automation: build practical understanding, make evidence-led decisions and create portfolio-ready work for version control and project communication.
Four guided lessons + applied workshop · Coming soon
Portfolio lab: data automation proposal
Module 11 of Python for Data & Automation: build practical understanding, make evidence-led decisions and create portfolio-ready work for portfolio lab: data automation proposal.
Four guided lessons + applied workshop · Coming soon
Final Python and automation capstone
Module 12 of Python for Data & Automation: build practical understanding, make evidence-led decisions and create portfolio-ready work for final python and automation capstone.
Four guided lessons + applied workshop · Coming soon
Extended workplace case study
Work through a realistic multi-step brief, make decisions with incomplete information and document a controlled response.
Four guided lessons + applied workshop · Coming soon
Advanced practice studio
Produce a stronger version of your practical artefact using feedback criteria, quality checks and a clear revision process.
Four guided lessons + applied workshop · Coming soon
Portfolio and career translation
Turn your learning into interview-ready evidence, a portfolio case study and a clear description of your contribution.
Four guided lessons + applied workshop · Coming soon
Professional mastery review
Bring the full programme together through a final scenario, evidence review, reflection and next-step development plan.
Four guided lessons + applied workshop · Coming soon
Python for Data & Automation industry application lab
Apply python for data & automation methods to a realistic sector brief with competing priorities, incomplete information and professional constraints.
Four guided lessons + applied workshop · Coming soon
Operational delivery and professional handover
Coordinate a complete delivery workflow, maintain the records another person needs and explain how versions, permissions, quality checks and handover are managed.
Four guided lessons + applied workshop · Coming soon
Decision simulation and stakeholder review
Respond to a realistic decision point, weigh evidence and trade-offs, then prepare a clear stakeholder update and escalation path.
Four guided lessons + applied workshop · Coming soon
Portfolio defence and development roadmap
Present your strongest learning evidence, answer challenge questions, identify a development gap and plan the next credible learning step.
Four guided lessons + applied workshop · Coming soon
Assessment and certificate
A simulated automation case and final knowledge assessment. It does not provide access to external systems or authorise use of employer data.
Who this is for
- ✓Aspiring data analysts and junior automation learners.
- ✓Professionals who want to understand programming workflows.
- ✓Job seekers building entry-level technical project evidence.