Get in Touch
 Duration 28 hours

Course Outline

Transitioning from Manual Reports to Automated Processes

  • Mapping the existing manual reporting workflow
  • Selecting automation candidates based on frequency, effort, and risk

Establishing the Automation Workbench

  • Setting up Python, editors, and virtual environments
  • Installing pandas, openpyxl, and Selenium

Python Fundamentals and Reusable Scripting

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

File Management, Paths, and Data Formats

  • Reading and writing CSV and Excel files
  • Standardizing naming, archiving, and date-stamping outputs

Data Preparation using pandas

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

Generating Reports with openpyxl

  • Writing results into Excel workbooks
  • Applying formatting, formulas, and charts
  • Generating output driven by Excel templates

Validation and Reconciliation of Results

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

Utilizing Claude for Script Creation and Reusable Skills

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

Web Automation with Selenium and Chrome

  • Locating elements, managing waits, and navigation
  • Secure sign-in to internal portals
  • Handling pagination, downloads, and files

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 protocols

Orchestration using 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 behaviors

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

  • Creating process documentation and runbooks
  • Capstone: building a departmental report
  • First scheduled execution and review

Requirements

  • No previous programming background is necessary.
  • Proficiency with Windows, Microsoft Excel, and standard web browsers.
  • A solid understanding of the specific report or process intended for automation.

Target Audience

  • Staff in business operations, finance, and administration responsible for recurring reports.
  • Team leads and supervisors who plan to upskill their teams.
  • Analysts transitioning from manual reporting to automated data pipelines.

Testimonials (3)

Upcoming Courses

Related Categories