Software Engineering, Computer Science, Electronics, or a related discipline. • Extensive experience developing software for automated test systems or hardware validation environments. • Strong proficiency in C#, C/C++, or Python, including OO design and software architecture principles. • Hands-on experience with instrumentation control, and data acquisition systems. • Proven ability to integrate test software with electronic hardware and embedded systems. • Strong More ❯
videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and More ❯
to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex More ❯
