What you’ll learn
- Convert a repeatable manual task into a tested script.
- Validate inputs and generate traceable reports.
- Plan retries and recovery without overwriting source data.
Proposed course content
6 sections · 13 illustrative lesson records
Task and data boundaries3 lessons
- Introduction to Python for Business Automation
Automate file processing, data checks and report preparation with Python while retaining review, audit logs and recoverable operations.
Public introduction · Video not supplied - Define inputs, outputs and human review points
Define inputs, outputs and human review points. Module: Task and data boundaries.
Enroll to access · Video not supplied - Record permissions and sensitive-data constraints
Record permissions and sensitive-data constraints. Module: Task and data boundaries.
Enroll to access · Video not supplied
Files and documents2 lessons
- Read structured files with explicit encoding and schemas
Read structured files with explicit encoding and schemas. Module: Files and documents.
Enroll to access · Video not supplied - Preserve originals and handle malformed inputs
Preserve originals and handle malformed inputs. Module: Files and documents.
Enroll to access · Video not supplied
Data transformation2 lessons
- Normalize values and reconcile records
Normalize values and reconcile records. Module: Data transformation.
Enroll to access · Video not supplied - Detect duplicates and inconsistent totals
Detect duplicates and inconsistent totals. Module: Data transformation.
Enroll to access · Video not supplied
API integration2 lessons
- Call authorized test endpoints with bounded credentials
Call authorized test endpoints with bounded credentials. Module: API integration.
Enroll to access · Video not supplied - Handle pagination, timeouts and rate limits
Handle pagination, timeouts and rate limits. Module: API integration.
Enroll to access · Video not supplied
Testing and recovery2 lessons
- Test edge cases with synthetic fixtures
Test edge cases with synthetic fixtures. Module: Testing and recovery.
Enroll to access · Video not supplied - Use dry runs, backups and idempotent operations
Use dry runs, backups and idempotent operations. Module: Testing and recovery.
Enroll to access · Video not supplied
Reporting and scheduling2 lessons
- Prepare reviewable outputs and safe logs
Prepare reviewable outputs and safe logs. Module: Reporting and scheduling.
Enroll to access · Video not supplied - Document scheduling, failure alerts and manual recovery
Document scheduling, failure alerts and manual recovery. Module: Reporting and scheduling.
Enroll to access · Video not supplied
Requirements
- Basic Python functions, collections and file handling.
- Synthetic or explicitly permitted business data; no live outreach or production writes.
Tools and resources
- A development computer with resources appropriate to the proposed local exercises.
- Python, spreadsheet/CSV processing tools and version control.
- A test runner, synthetic business records and optional authorized test APIs.
Description
Automate file processing, data checks and report preparation with Python while retaining review, audit logs and recoverable operations.
Who this course is for
Programmers automating repeatable reporting and document tasks.
Example practical project
Proposed capstone: a synthetic invoice-reconciliation script that validates records, produces an exception report and preserves source files.