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Complete 30+ Professional Softwares For Computer Science
Rating: 4.7 out of 5(14 ratings)
5,435 students

Complete 30+ Professional Softwares For Computer Science

Complete 30+ Professional Softwares For Computer Science (Tamil )
Created byARUNNACHALAM SHANMUGARAAJAN
Last updated 12/2023
Tamil

What you'll learn

  • You Will Learn New Professional Softwares in Computer Science Engineering.
  • You Will Learn Professional Softwares in Computer Science Engineering.
  • You will find more interesting Softwares
  • From First Module To Last Module: You Will Learn All Advanced Softwares

Course content

4 sections • 22 lectures • 1h 44m total length

  • HOW TO UPLOAD FILES IN GIT5:59
  • HOW TO UPLOAD WEBSITE IN FIREBASE6:13
  • HOW TO UPLOAD WEBSITE IN NETLIFY2:33

Requirements

  • Participants should have a fundamental understanding of computer operations, including file management, basic software usage, and navigating the operating system.
  • A stable internet connection is essential for downloading software, accessing online resources, and participating in any collaborative elements of the course.

Description

Course Title: Mastering 30+ Professional Softwares for Computer Science Engineering

Course Description:

Welcome to the ultimate journey of "Mastering 30+ Professional Softwares for Computer Science Engineering." This comprehensive course is meticulously crafted to equip you with a diverse skill set, spanning a wide array of industry-standard software tools essential for success in the field of computer science engineering. Whether you're a student, software developer, IT professional, or data scientist, this course is designed to elevate your proficiency in over 30 professional-grade software applications.

What You Will Learn:

Software Development Suites:

  1. IntelliJ IDEA: Master the leading Java integrated development environment (IDE) for efficient coding and collaboration.

  2. Eclipse: Explore the versatile IDE used for Java development and various other programming languages.

Database Management Systems: 3. MySQL: Dive into the world of relational databases, learning to manage, query, and optimize MySQL databases.

  1. MongoDB: Explore the NoSQL database, mastering its schema-less architecture and scalability.

Network Simulation Tools: 5. Cisco Packet Tracer: Develop hands-on networking skills by simulating and analyzing network

Machine Learning and AI Frameworks: 7. TensorFlow: Explore the open-source machine learning framework for building and training deep learning models.

  1. PyTorch: Master the dynamic deep learning framework widely used for research and development.


Virtualization Platforms: 13. VirtualBox: Explore the open-source virtualization platform for creating and managing virtual machines.

  1. VMware: Master the industry-leading virtualization software for server and desktop virtualization.

Version Control Systems: 19. Git: Master the distributed version control system used for tracking changes in source code during software development.

  1. GitHub: Explore the collaborative platform for version control and team collaboration.

Who this course is for:

  • Participants should have a fundamental understanding of computer operations, including file management, basic software usage, and navigating the operating system.
  • Beginners in Computer Science Engineering
  • An open and eager mindset for learning new technologies and software tools in the field of computer science engineering.
  • A basic understanding of fundamental computer science concepts

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