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 Duration 28 hours

Course Outline

Transitioning from Manual to Automated Reporting

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

Configuring the Automation Environment

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

Python Fundamentals and Reusable Scripts

  • Variables, conditions, loops, and lists
  • Creating small functions and sequential script steps
  • Interpreting and acting on error messages

File Management and Data Formats

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

Data Preparation using pandas

  • Loading data sources into dataframes
  • Filtering, joining, and aggregating data
  • Cleaning dates, monetary values, and duplicates

Report Generation using openpyxl

  • Populating Excel workbooks with results
  • Applying formatting, formulas, and charts
  • Driving output from Excel templates

Result Validation and Reconciliation

  • Verifying control totals and row counts
  • Identifying duplicates and outliers
  • Implementing quality gates prior to release

Utilizing Claude for Scripting and Reusable Skills

  • Prompt engineering for automation code
  • Reviewing and refining generated code
  • Package reusable skills for team use

Web Automation with Selenium and Chrome

  • Element locating, waiting strategies, and navigation
  • Secure sign-in to internal portals
  • Handling pagination, downloads, and file operations

Power BI and Excel Internal Sources

  • Accessing published reports and exports
  • Managing shared folders and file lock conflicts
  • Adapting to layout and column changes

Distributing Reports via Email and WhatsApp

  • Sending via Gmail using app passwords
  • Managing attachments, summaries, and recipient lists
  • Creating business messaging templates and managing opt-ins

Orchestration with PowerShell

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

Unattended Scheduling with Task Scheduler

  • Creating and configuring scheduled tasks
  • Managing service accounts and run-as permissions
  • Monitoring executions and retry mechanisms

Troubleshooting, Logging, and Security

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

Documentation, Handover, and the Automation Capstone

  • Creating process documentation and runbooks
  • Capstone: Developing a departmental report
  • Executing the first scheduled run and conducting a review

Requirements

  • No prior programming experience is necessary.
  • Proficiency in using Windows, Microsoft Excel, and a web browser.
  • Practical understanding of the report or process intended for automation.

Target Audience

  • Business, operations, finance, and administrative staff managing recurring reports.
  • Team leads and supervisors planning to upskill their teams.
  • Analysts transitioning from manual reporting to automated data pipelines.

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