Explore the core ideas and skills a coder needs when programming on any platform with any language. Focus on the most important languages like JavaScript, C, Ruby, and Python. You will learn what these different languages are good at and why you might pick one over another.
DurationExplore the core ideas and skills a coder needs when programming on any platform with any language. Focus on the most important languages like JavaScript, C, Ruby, and Python. You will learn what these different languages are good at and why you might pick one over another.
Goals include: recognizing what is common across all of these languages; identifying what the program is doing under the hood; and making sense of the buzzwords and jargon that you cannot avoid when programming.
Continuing Education (CE) at Mohawk College provides opportunities to continue your education and expand your knowledge – in a way that works with you, your schedule and your life.
Learn the business value and product capabilities of Power Platform. Create a simple Power App, connect data with Common Data Service, build a Power BI Dashboard, and automate a process with Power Automate.
Enroll for 5-day 55264-A: Introduction to Programming Using Python training from Koenig Solutions accredited by Microsoft. Â In this course you will learn how to write Python code that logically solves a given problem.
Welcome to the "Fundamentals of C++ Programming" course! C++ is a powerful and versatile programming language widely used in software development, game development, system programming, and more.
Python is also one of the most popular programming languages in the software industry. It’s a general purpose and robust programming language used in developing Windows applications, web applications, robotics, Data Science, Big Data, Artificial Intelligence, machine learning.
The Data Steps' R Programming for Data Science training course will help you become a master in data manipulation with R programming, data visualization, and advanced analytics topics like regressions and data mining using RStudio.
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