New York University (NYU) Courses

Guided Tour of Machine Learning in Finance

7 ratings

Survey machine learning for finance, from mathematical foundations to supervised learning methods, and apply them in a capstone project predicting bank closures.

• Coursera
• 4 weeks, 6 hours a week
• Self-Paced
• Paid Course

Engineering Health: Introduction to Yoga and Physiology

540 ratings at Coursera

Learn how each physiological system works — cellular, nervous, respiratory, cardiovascular, endocrine — and practice weekly yoga shown to ease stress, hypertension, chronic pain and insomnia.

• Coursera
• 14 weeks, 4 hours a week
• Self-Paced
• Paid Course

Fundamentals of Machine Learning in Finance

345 ratings at Coursera

Apply supervised, unsupervised, and reinforcement learning to financial problems in Python, covering PCA, dimensionality reduction, clustering, and a portfolio trading strategy project.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Reinforcement Learning in Finance

134 ratings at Coursera

Apply reinforcement learning to finance: model option pricing as an MDP, compare dynamic programming and Q-learning, and use inverse RL for portfolio stock trading.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Climate Change and Human Rights

960 ratings at Coursera

Explore the emerging field of climate change and human rights: its history, key actors, landmark cases, and emerging trends and takeaways.

• Coursera
• 11 hours 8 minutes
• Self-Paced
• Free Online Course

Overview of Advanced Methods of Reinforcement Learning in Finance

86 ratings at Coursera

Connect reinforcement learning to Black-Scholes-Merton option pricing and physics, use inverse reinforcement learning for market impact, and apply both to high-frequency trading, cryptocurrencies, and peer-to-peer lending.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Introduction to Cyber Attacks

2950 ratings at Coursera

Learn how basic cyber attacks are built: Unix kernel hacks, Internet worms, Trojan horses, DDOS and botnet attacks, the CIA framework, and threat-asset risk matrices.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Career Certificate

Introduction to Cyber Security

3744 ratings at Coursera

Build a foundation in cyber security: study cyber attacks, attack countermeasures, real-time threat detection and mitigation, and enterprise and infrastructure security, with interviews from industry partners.

• Coursera
• 8 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

Career Certificate

Machine Learning and Reinforcement Learning in Finance

825 ratings at Coursera

Build a foundation in machine learning and reinforcement learning algorithms and apply them to practical finance problems, from choosing appropriate methods to implementing and assessing solutions.

• Coursera
• 8 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

Cyber Attack Countermeasures

713 ratings at Coursera

Learn cyber defense foundations: Bell-LaPadula and information flow models, Kerberos and RSA SecureID authentication, block ciphers and triple-DES, and certificate-based public key cryptography behind SSL.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Enterprise and Infrastructure Security

686 ratings at Coursera

Examine advanced enterprise security topics: NIST and PCI compliance, risk assessments, hybrid cloud architectures, blockchain and anonymity, IoT and critical infrastructure protection, mobility security and deception.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Real-Time Cyber Threat Detection and Mitigation

665 ratings at Coursera

Learn to defend TCP/IP networks in real time: design stateless and stateful firewalls, packet filters, proxies, intrusion detection and SOC architectures, and counter DDOS and APT attacks.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Richard Schechner's Introduction to Performance Studies

84 ratings at Coursera

Performance spans a broad spectrum of human action: analyze ritual, play, restored behavior, performativity, social roles, social media, paleolithic cave art, and the Ramlila of Ramnagar.

• Coursera
• 13 weeks, 2 hours a week
• Self-Paced
• Paid Course

MOST from a Methodological Perspective

Apply the multiphase optimization strategy (MOST) to intervention research: run factorial optimization trials, analyze them with factorial ANOVA, power the designs, and pinpoint effective intervention components.

• Coursera
• 7 weeks, 3 hours a week
• Self-Paced
• Paid Course

MOST from a Conceptual Perspective

Apply the multiphase optimization strategy (MOST) to intervention research: complete the preparation and optimization phases, use factorial experiments, and identify effective components within an implementation budget.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course