What will you learn in Python Scripting Certification Training
- Automate routine tasks using Python scripts and the standard library
- Work with files and directories: reading, writing, and path manipulations
- Parse and process data formats (CSV, JSON, XML) for batch operations
- Interact with web resources via HTTP requests and HTML/XML parsing
- Schedule and package scripts for cross-platform deployment
Program Overview
Module 1: Python Scripting Foundations
⏳ 1 week
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Topics: Script vs. module, shebang and execution permissions, virtual environments
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Hands-on: Write and execute your first “hello world” script and package it as a module
Module 2: File & Directory Automation
⏳ 1 week
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Topics:
osandpathlibfor traversal,shutilfor copy/move, glob patterns -
Hands-on: Build a script to organize files by extension into folders
Module 3: Data Parsing & Transformation
⏳ 1 week
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Topics: CSV reader/writer, JSON serialization, XML parsing with
ElementTree -
Hands-on: Aggregate and transform a set of CSV files into a consolidated JSON report
Module 4: Web Interaction & APIs
⏳ 1 week
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Topics:
requestsfor HTTP, error handling, scraping withBeautifulSoup -
Hands-on: Fetch data from a public REST API and parse HTML tables from a webpage
Module 5: Scheduling & Automation Workflows
⏳ 1 week
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Topics: Cron jobs vs. Windows Task Scheduler,
scheduleandAPSchedulerlibraries -
Hands-on: Create a daily data-backup script triggered automatically at a set time
Module 6: Packaging & Distribution
⏳ 1 week
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Topics:
setup.pyandpyproject.toml, entry points, creating executables with PyInstaller -
Hands-on: Package your automation into a command-line tool installable via
pip
Module 7: Debugging & Logging
⏳ 1 week
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Topics:
loggingmodule configuration, exception tracing, interactive debugging withpdb -
Hands-on: Enhance an existing script with robust logging and step-through debugging
Module 8: Capstone Project – End-to-End Automator
⏳ 1 week
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Topics: Project scoping, modular script architecture, unit testing basics
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Hands-on: Build, test, and deploy a complete automation pipeline—for example, an ETL script that ingests, transforms, and reports on batch data
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Job Outlook
- Python scripting skills are in demand for roles such as Automation Engineer, DevOps Engineer, and Data Engineer
- Automation reduces manual effort across IT, data analysis, and system administration—salaries range $75,000–$120,000+
- Mastery of scripting accelerates productivity and reliability in DevOps pipelines and data workflows
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Related Reading
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