Supervised Learning Courses and Certifications

Statistical Learning with R

28 reviews

Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in R. Course material updated in 2021 for second edition of the course textbook.

• edX
• 11 weeks, 3-5 hours a week
• On-Demand
• Free Online Course (Audit)

Statistical Learning with R

Master supervised and unsupervised learning techniques using R, from linear regression to deep learning, with hands-on implementation of modern data science methods.

• YouTube
• 20 hours 28 minutes
• On-Demand
• Free Video

Intro to Machine Learning

20 reviews

This class will teach you the end-to-end process of investigating data through a machine learning lens. Learn online, with Udacity.

• Udacity
• 65 hours
• On-Demand
• Free Online Course

Supervised Text Classification for Marketing Analytics

14 ratings at Coursera

Learn to use supervised deep learning for text classification in marketing analytics, covering machine learning workflows, neural networks, and practical implementation using Google Colab and Python.

• Coursera
• 17 hours 48 minutes
• On-Demand
• Paid Course

Coursera

Forecast Business Metrics: Uncover Value Drivers

Master supervised learning to forecast business metrics like EBITDA using Python, regression models, and explainable AI techniques for actionable insights.

• Coursera
• 2 hours 7 minutes
• On-Demand
• Paid Course

Kaggle;  Amazon;  Amazon Web Services Microcredential

AWS Machine Learning Engineer Nanodegree

11 reviews

Master foundational ML skills, from supervised learning to deep learning. Deploy models to production environments and complete a capstone project in your chosen domain.

• Udacity
• 94 hours
• On-Demand
• Paid Course

Alberta Machine Intelligence Institute

Machine Learning Algorithms: Supervised Learning Tip to Tail

417 ratings at Coursera

Explore supervised learning techniques like decision trees, k-NN, and SVMs. Implement and analyze these algorithms on real business cases, gaining practical skills in data preparation and model evaluation.

• Coursera
• 9 hours 24 minutes
• On-Demand
• Paid Course

Microcredential

AI ML with Deep Learning and Supervised Models

10 ratings at Coursera

Master AI fundamentals, build neural networks, and implement advanced models like RNNs and LSTMs. Gain practical skills in supervised and unsupervised learning while exploring ethical considerations and industry applications.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

EDUCBA

Linear Regression & Supervised Learning in Python

14 ratings at Coursera

Master linear regression and supervised learning fundamentals through hands-on Python projects, from data analysis to model evaluation and prediction techniques.

• Coursera
• 5 hours 24 minutes
• On-Demand
• Paid Course

Supervised Learning Regression Classification Clustering

Master essential machine learning techniques from regression and classification to clustering, gaining practical skills to implement supervised and unsupervised learning for real-world data analysis.

• Coursera
• 7 hours 44 minutes
• On-Demand
• Paid Course

Microcredential

Machine Learning

38295 ratings at Coursera

Comprehensive introduction to machine learning fundamentals, covering supervised and unsupervised learning techniques, with practical applications and best practices from Silicon Valley.

• Coursera
• 8 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Applied Machine Learning in Python

6 reviews

Learn applied machine learning techniques using Python, from clustering to predictive modeling, with a focus on practical implementation and evaluation using scikit-learn.

• Coursera
• 1 day 7 hours 32 minutes
• On-Demand
• Paid Course

Generative Models With Domain Knowledge for Weakly Supervised Clustering

Explore deep generative models for weakly supervised clustering, incorporating domain knowledge and survival data to guide algorithms towards medically meaningful findings in biomedical datasets.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Weakly-Supervised, Large-Scale Computational Pathology for Diagnosis and Prognosis - Max Lu

Explore machine learning models for histopathology analysis, enabling large-scale cancer diagnosis and prognosis without manual annotations. Learn about innovative approaches in computational pathology.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Observational Supervision for Medical Image Classification

Exploring gaze data as a novel supervision source for training deep learning models in medical image classification, focusing on chest X-rays and brain MRI scans for improved efficiency and accuracy.

• YouTube
• 36 minutes
• On-Demand
• Free Video