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 Duration 28 hours

Course Outline

Transitioning from Manual Reports to Automated Workflows

  • Mapping existing manual report workflows
  • Selecting candidates based on frequency, effort, and risk

Establishing the Automation Workbench

  • Python, code editors, and virtual environments
  • Installing pandas, openpyxl, and Selenium

Python Fundamentals and Script Reusability

  • Variables, conditional logic, loops, and lists
  • Basic functions and sequential script steps
  • Interpreting and responding to error messages

Managing Files, Paths, and Data Formats

  • Reading and writing CSV and Excel files
  • Naming conventions, archiving, and date-stamping outputs

Data Preparation Using pandas

  • Loading sources into dataframes
  • Filtering, joining, and aggregating data
  • Cleaning dates, financial amounts, and duplicates

Report Generation with openpyxl

  • Writing results into Excel workbooks
  • Formatting, formulas, and chart creation
  • Driving output generation from Excel templates

Validation and Result Reconciliation

  • Control totals and row count verification
  • Detecting duplicates and outliers
  • Implementing quality gates before release

Utilizing Claude for Script Creation and Reusable Skills

  • Prompting strategies for automation code
  • Reviewing and correcting generated code
  • Packaging reusable skills for team sharing

Web Automation via Selenium and Chrome

  • Element location, waits, and navigation
  • Secure sign-in to internal portals
  • Handling pagination, downloads, and files

Integrating Power BI and Excel Internal Sources

  • Accessing published reports and exports
  • Managing shared folders and file lock conflicts
  • Adapting to changed layouts and columns

Distributing Reports via Email and WhatsApp

  • Sending Gmail messages using app passwords
  • Managing attachments, summaries, and recipient lists
  • Business messaging templates and opt-in management

Orchestrating Workflows with PowerShell

  • Executing scripts and capturing output
  • Managing parameters, logging, and exit codes
  • Chaining steps into a unified pipeline

Unattended Scheduling via Task Scheduler

  • Creating and configuring scheduled tasks
  • Service accounts and run-as permissions
  • Monitoring runs and retry mechanisms

Troubleshooting, Logging, and Security

  • Structured logging and error capture
  • Credential storage and least privilege principles
  • Handling personal and regulated data

Documentation, Handover, and the Automation Capstone

  • Process documentation and runbooks
  • Capstone: Constructing a departmental report
  • Initial scheduled execution and review

Requirements

  • No prior programming background is necessary.
  • Proficiency with Windows, Microsoft Excel, and web browsers.
  • Working knowledge of the specific report or process intended for automation.

Target Audience

  • Business, operations, finance, and administrative staff handling recurring reports.
  • Team leads and supervisors seeking to impart these skills to their teams.
  • Analysts transitioning from manual reporting to automated data pipelines.

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