Automation With Python Course Overview

Automation With Python Course Overview

Automation with Python is an essential course designed to equip you with the skills to streamline repetitive tasks and improve efficiency. Throughout this course, you will learn key concepts such as web scraping, task automation, and data manipulation. You'll also explore tools like Selenium and Beautiful Soup to automate browser actions and extract data from websites.

By the end of the course, you’ll be able to create scripts that automate complex workflows, saving you time and effort. This practical application of Python programming not only enhances your coding abilities but also empowers you to tackle real-world challenges in various industries. Join us and unlock the power of automation today!

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  • Live Training (Duration : 40 Hours)
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  • Classroom Training fee on request

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  • Live Training (Duration : 40 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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Target Audience for Automation With Python

Automation With Python is designed to equip learners with essential skills to automate repetitive tasks, making processes efficient and enhancing productivity in various industries.


Target Audience and Job Roles:


  • Software Developers
  • Data Analysts
  • System Administrators
  • Quality Assurance Engineers
  • DevOps Engineers
  • Project Managers
  • IT Professionals
  • Business Analysts
  • Technical Support Engineers
  • Data Scientists
  • Entry-Level Programmers
  • Students in IT-related fields


Learning Objectives - What you will Learn in this Automation With Python?

Introduction

The Automation With Python course equips students with essential skills to automate tasks and processes using Python, enhancing productivity and efficiency in various applications.

Learning Objectives and Outcomes

  • Understand the fundamentals of Python programming.
  • Learn to automate file handling and manipulation.
  • Work with web scraping techniques to extract data.
  • Implement automation for data entry and reporting tasks.
  • Utilize Python libraries for enhancing automation processes.
  • Explore tools for debugging and testing automated scripts.
  • Develop proficiency in writing maintainable and reusable code.
  • Gain knowledge of best practices in automation.
  • Understand handling exceptions and logging in scripts.
  • Create real-world automation projects through hands-on experience.

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