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Course Meta
6 Months
3.5

JAVASCRIPT

  • 12 Lessons
  • 25 Students
Intermediate Level
Capstone Project: Real-world JavaScript Application
3.5
  • 12 Lessons
  • 6 Months
What You’ll Learn?
  • JavaScript animation properties and timing can be controlled dynamically with CSS animations.
  • Discover how keyframes and transitions can create smooth and engaging animations.
  • Animate based on user interactions or specific events, adding dynamic elements that captivate users.
Course Meta
2 Months
3.5

python,php,datascience

  • 6 Lessons
  • 25 Students
Intermediate Level
Python Networking and Socket Programming
3.5
  • 6 Lessons
  • 2 Months
What You’ll Learn?
  • Establish socket connections, send and receive data between networked devices, and build client-server applications.
  • Manage network errors and implement reliable data transmission using TCP/UDP protocols.
  • Python can build chat servers, file transfer systems, and real-time communication tools.
Course Meta
2 Months
5

data science,python

  • 8 Lessons
  • 25 Students
Intermediate Level
Python Testing and Test Automation
5
  • 8 Lessons
  • 2 Months
What You’ll Learn?
  • Write and execute unit, integration, and suite tests using testing frameworks like unit tests.
  • Developing automated testing pipelines to integrate testing into the development process.
  • Create test reports, analyze test coverage, and identify code areas that need further testing.
Course Meta
6 Months
5

data science,python

  • 10 Lessons
  • 25 Students
Intermediate Level
Python Concurrency and Multithreading
5
  • 10 Lessons
  • 6 Months
What You’ll Learn?
  • Convergence versus parallelism, Global Interpreter Lock (GIL), and techniques for simultaneous execution are discussed.
  • Enhance thread performance by creating and managing threads using the threading module.
  • Data integrity is ensured through synchronization mechanisms such as locks and semaphores.
Course Meta
2 Months
5

data science,python

  • 8 Lessons
  • 25 Students
Intermediate Level
Natural Language Processing with Python
5
  • 8 Lessons
  • 2 Months
What You’ll Learn?
  • Learn about text preprocessing techniques, cleaning, and tokenizing text data for analysis.
  • Learn how to build and train text classification models using Naive Bayes, SVM, and deep learning.
  • With libraries like NLTK and spaCy, explore named entity recognition, sentiment analysis, and text generation.