Supervised Learning

Filter Courses within "Supervised Learning" (Click to filter)
Practical Predictive Analytics: Models and Methods (Coursera) Coursera
University of Washington

Practical Predictive Analytics: Models and Methods (Coursera)

Dive into the world of data science with 'Practical Predictive Analytics: Models and Methods'. This course is designed for those eager to learn how to design statistical experiments, analyze results using advanced techniques, and avoid common misinterpretations in big data. Gain a core understanding of practical machine learning methods and apply them to real-world problems.

Jul 20th 2026
4 Weeks
Fundamentals of Machine Learning in Finance (Coursera) Coursera
New York University Tandon School of Engineering

Fundamentals of Machine Learning in Finance (Coursera)

Dive into the world of machine learning applied to finance with our Fundamentals of Machine Learning in Finance course. This course will equip you with the skills needed to tackle practical financial challenges using advanced ML techniques, enhancing your ability to make informed decisions and stay ahead in the ever-evolving financial landscape.

Jul 20th 2026
4 Weeks
Guided Tour of Machine Learning in Finance (Coursera) Coursera
New York University

Guided Tour of Machine Learning in Finance (Coursera)

Embark on a guided tour through the fascinating intersection of machine learning (ML) and finance. This course offers an introductory yet insightful look into applying ML methods in financial contexts, focusing on prediction models and practical applications such as forecasting bank closures. Ideal for beginners and professionals alike, this course sets the stage for advanced studies in Machine Learning and Reinforcement Learning in Finance.

Jul 20th 2026
4 Weeks
Deep Learning and Reinforcement Learning (Coursera) Coursera
IBM

Deep Learning and Reinforcement Learning (Coursera)

Dive into the world of cutting-edge Machine Learning disciplines with our 'Deep Learning and Reinforcement Learning' course. Learn about Neural Networks, modern Deep Learning architectures, and apply these concepts to Supervised and Unsupervised Learning scenarios. This course is ideal for those looking to advance their skills in AI and machine learning.

Jul 20th 2026
5-12 Weeks
Specialized Models: Time Series and Survival Analysis (Coursera) Coursera
IBM

Specialized Models: Time Series and Survival Analysis (Coursera)

Dive into the world of specialized machine learning models with 'Specialized Models: Time Series and Survival Analysis'. This comprehensive online course will equip you with essential skills in forecasting and analyzing complex datasets that involve time components or censored data. Perfect for professionals looking to advance their predictive modeling expertise.

Jul 20th 2026
4 Weeks
AI Applications in Marketing and Finance (Coursera) Coursera
University of Pennsylvania

AI Applications in Marketing and Finance (Coursera)

Explore the transformative power of Artificial Intelligence in modern marketing and finance with this insightful online course. Gain expertise in leveraging AI applications to refine your marketing approach, optimize consumer targeting, and safeguard financial assets against risks such as fraud and credit issues.

Jul 20th 2026
4 Weeks
Supervised Text Classification for Marketing Analytics (Coursera) Coursera
University of Colorado Boulder

Supervised Text Classification for Marketing Analytics (Coursera)

Dive into the world of supervised machine learning with our 'Supervised Text Classification for Marketing Analytics' course. Learn how to effectively categorize and label vast amounts of marketing data using deep learning techniques. Gain hands-on experience through Python tutorials and apply what you've learned in a major project.

Jul 20th 2026
4 Weeks
Machine Learning Introduction for Everyone (Coursera) Coursera
IBM

Machine Learning Introduction for Everyone (Coursera)

Embark on a journey into the world of Machine Learning with our beginner-friendly course. Over three engaging modules, you'll explore the history, applications, and core concepts of machine learning, including supervised vs unsupervised learning, classification, regression, and model evaluation. Ideal for those new to data science looking to build a strong foundation.

Jul 20th 2026
3 Weeks