Python Automation Bootcamp: Streamline Your Workflow with Code Course Overview

Python Automation Bootcamp: Streamline Your Workflow with Code Course Overview

The Python Automation Bootcamp: Streamline Your Workflow with Code course is designed to empower learners with the skills to use Python for task automation, significantly enhancing productivity and efficiency in various workflows. By diving into this comprehensive course, participants will learn how to set up their Python environment and apply a multitude of libraries and tools to automate mundane tasks. From Reading and writing files, web scraping, and Handling Excel and CSV data to Working with PDFs, Word documents, and Sending automated emails and text messages, the course covers a vast array of practical applications. With 20 modules that include hands-on program demonstrations and a focus on real-world scenarios, learners will be able to harness the power of Python for task automation to streamline complex processes, saving time and reducing the potential for human error.

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Successfully delivered 3 sessions for over 26 professionals

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Course Fee 1,450
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1,450 (USD)
  • Live Training (Duration : 32 Hours)
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  • Live Training (Duration : 32 Hours)
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  • Classroom Training fee on request

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Target Audience for Python Automation Bootcamp: Streamline Your Workflow with Code

  1. The Python Automation Bootcamp course is designed for professionals seeking to enhance their workflow efficiency through Python coding.


  2. Target Job Roles and Audience:


  • IT Professionals looking to automate repetitive tasks
  • Software Developers interested in Python scripting for automation
  • Data Analysts/Data Scientists who want to streamline their data processing tasks
  • System Administrators aiming to automate system management tasks
  • Quality Assurance Engineers seeking to automate testing processes
  • Technical Support Engineers who wish to automate routine support tasks
  • Office Managers/Administrators looking to automate document handling
  • Business Analysts interested in automating report generation
  • Marketing Professionals aiming to automate data collection and analysis
  • Entrepreneurs seeking to automate aspects of their business processes
  • Academic Researchers needing to automate data gathering and analysis tasks
  • Students in computer science or related fields learning practical coding applications
  • Hobbyists interested in learning how to automate tasks for personal projects


Learning Objectives - What you will Learn in this Python Automation Bootcamp: Streamline Your Workflow with Code?

Introduction to the Course's Learning Outcomes and Concepts Covered

Gain hands-on experience in Python for automating everyday tasks, streamlining workflows, and enhancing productivity through practical coding applications, from file manipulation to GUI automation.

Learning Objectives and Outcomes

  • Understand the concept of automation and how Python can be leveraged to automate repetitive tasks, increasing efficiency and accuracy.
  • Set up a Python development environment and familiarize with automation libraries and tools essential for scripting automation tasks.
  • Learn input validation techniques using PyInputPlus and custom validation functions to ensure reliable user data input.
  • Acquire the ability to read, write, and modify various file types including text files, CSVs, JSON data, Excel spreadsheets, and Google Sheets.
  • Develop skills in web scraping to extract information from websites and handle dynamic web content using Beautiful Soup and other tools.
  • Practice exception handling and debugging to create robust and error-resistant Python scripts.
  • Master the manipulation of PDFs and Word documents for automated document processing.
  • Organize and manage tasks efficiently using Python's time and datetime modules, and learn to execute multithreading for concurrent operations.
  • Send emails and text messages programmatically using Gmail API, SMTP, IMAP, and Twilio, for automated communication workflows.
  • Implement GUI automation for keyboard and mouse control with PyAutoGUI, enabling the automation of user interface interactions on a computer.

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