Master programming in D with a focus on advanced features, best practices, and real-world applications for software engineers.

Write and debug MATLAB code to automate your computing workflows.

This course covers Python fundamentals, OOP, and advanced topics like concurrency, preparing you for a career in data science and machine learning.

This course covers Python fundamentals, OOP, and advanced topics like concurrency, preparing you for a career in data science and machine learning.

Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.

Once you have learned the foundations of Python, the next step to increase your productivity is learning how to be proficient with a development environment or IDE. This course will help you get started.

Learn to build and train transformer models using the PyTorch library for natural language processing tasks.

Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.

Achieve fluency in Python programming, focusing on applications in data analysis and web development.

Discover the Swift programming language, focusing on its syntax and application development for iOS.

Explore strategies for fostering organizational agility through effective communication and progress tracking.

Learn to build apps and simple fun games, graphics & gui in python programming.