Free New York University (NYU) Courses online

• Development
• Cyber Security
• Free
• New York University (NYU)
• Coursera

This course provides learners with a baseline understanding of common cyber security threats, vulnerabilities, and risks.

• Development
• Networking
• Free
• New York University (NYU)
• Edx

This is a self-paced course from NYU that provides an Introduction to Networking

• Development
• Machine Learning
• Free
• New York University (NYU)
• Coursera

The course aims at helping students to be able to solve practical ML-amenable problems that they may encounter in real life.

• Development
• Cyber Security
• Free
• New York University (NYU)
• Coursera

This course introduces the basics of cyber defense starting with foundational models such as Bell-LaPadula and information flow frameworks.

• Development
• Cyber Security
• Free
• New York University (NYU)
• Coursera

This course introduces real-time cyber security techniques and methods in the context of the TCP/IP protocol suites.

• Health
• Yoga
• Free
• New York University (NYU)
• Coursera

Learn Engineering Health: Introduction to Yoga and Physiology from New York University Tandon School of Engineering. This course gives you access to an exploration of physiological systems from the perspective of overall health and wellness.

• Development
• Computer Science
• Free
• New York University (NYU)
• Edx

This is a self-paced course that provides an Introduction to Computing and Programming

• Social Science
• Law
• Free
• New York University (NYU)
• Edx

This advanced seminar explores in depth the theoretical and practical aspects of media-communications principles and regulations.

• Development
• Machine Learning
• Free Trial
• New York University (NYU)
• Coursera

This course aims at providing an introductory and broad overview of the field of ML with the focus on applications on Finance. Supervised Machine Learning methods are used in the capstone project to predict bank closures. Simultaneously, while this course can be taken as a separate course, it serves as a preview of topics that are covered in more details in subsequent modules of the specialization Machine Learning and Reinforcement Learning in Finance. The goal of Guided Tour of Machine Learning in Finance is to get a sense of what Machine Learning is, what it is for and in how many different financial problems it can be applied to. The course is designed for three categories of students: Practitioners working at financial institutions such as banks, asset management firms or hedge funds Individuals interested in applications of ML for personal day trading Current full-time students pursuing a degree in Finance, Statistics, Computer Science, Mathematics, Physics, Engineering or other related disciplines who want to learn about practical applications of ML in Finance Experience with Python (including numpy, pandas, and IPython/Jupyter notebooks), linear algebra, basic probability theory and basic calculus is necessary to complete assignments in this course.

• Development
• Cyber Security
• Free Trial
• New York University (NYU)
• Coursera

Introduction to Cyber Security was designed to help learners develop a deeper understanding of modern information and system protection technology and methods.