01 / Python & notebook foundations
Work with variables, functions and notebook cells; read sample finance files reproducibly.
Explore how Python can clean finance data, automate repeatable reports and support traceable analysis.
Work with variables, functions and notebook cells; read sample finance files reproducibly.
Clean dates, missing values and account categories with pandas while keeping source data intact.
Calculate financial summaries and create charts with documented assumptions.
Build a repeatable report, add control-total checks and explain the workflow to a reviewer.
Python notebooks, pandas data preparation, finance analysis and reporting validation.
A documented notebook that transforms sample finance files into a checked report.
Final curriculum, instructor, duration, software access and assessment details will be confirmed before enrolment.
Finance analysts and spreadsheet users interested in reporting automation.
Comfort with spreadsheets and data analysis; basic coding exposure is helpful.
Finance analysts and spreadsheet users interested in reporting automation.
Comfort with spreadsheets and data analysis; basic coding exposure is helpful.
A documented notebook that transforms sample finance files into a checked report.
Request the confirmed duration, fee, delivery format, instructor and software requirements before enrolment.
This is independent professional development. It does not award a regulated designation or vendor certification.
Tell us your goals. We’ll help you explore the right course.